scieee Science in your language
[en] (orig)

Monitoring and synchronization of cardiac and respiratory traces in magnetic resonance imaging: A review

Abstract

Synchronization of human vital signs, namely the cardiac cycle and respiratory excursions, is necessary during magnetic resonance imaging of the cardiovascular system and the abdominal cavity to achieve optimal image quality with minimized artifacts. This review summarizes techniques currently available in clinical practice, as well as methods under development, outlines the benefits and disadvantages of each approach, and offers some unique solutions for consideration.

Read accessible full text

Monitoring and synchronization of cardiac and respiratory traces in magnetic resonance imaging: A review

Author: Ládrová, Martina
Publisher: IEEE
Year: 2022
DOI: 10.1109/RBME.2021.3055550
Source: https://dspace.vsb.cz/bitstreams/6fb3dade-0738-4694-a087-bdb4557ca803/download
200 IEEE REVIEWS IN BIOMEDICAL ENGINEERING, VOL. 15, 2022
Moni o ing and Synch oniza ion o Ca diac and
Respi a o y T aces in Magne ic Resonance
Imaging: A Re iew
Ma ina Lad o a , Radek Ma inek , Jan Nedoma , Pa la Hanzliko a , Michael Douglas Nelson ,
Radana Kahanko a , Jind ich B ablik , and Jakub Kola ik
(Me hodological Re iew)
Abs ac —Synch oniza ion o human i al signs, namely
he ca diac cycle and espi a o y excu sions, is necessa y
du ing magne ic esonance imaging o he ca dio ascula
sys em and he abdominal ca i y o achie e op imal image
quali y wi h minimized a i ac s. This e iew summa izes
echniques cu en ly a ailable in clinical p ac ice, as well
as me hods unde de elopmen , ou lines he bene i s and
disad an ages o each app oach, and o e s some unique
solu ions o conside a ion.
Index Te ms—Magne ic esonance imaging (MRI), ca -
diac magne ic esonance imaging (CMRI), MRI igge ing,
ca diac igge ing, espi a o y igge ing.
I. INTRODUCTION
MAGNETIC Resonance Imaging (MRI) is a powe ul
non-in asi e ool o imaging human body s uc u e and
unc ion. The main ad an ages o MRI include he absence o
ionizing adia ion, high con as be ween di e en ypes o so
issues, and i s abili y o image in a bi a y spa ial o ien a ions.
In addi ion o p o iding high- esolu ion images o he body
s uc u e, MRI also p o ides no el pa hophysiologic insigh
in o basic bodily unc ions (e.g., molecula wa e di usion,
Manusc ip ecei ed Augus 28, 2020; e ised Decembe 22, 2020;
accep ed Janua y 25, 2021. Da e o publica ion Janua y 29, 2021;
da e o cu en e sion Janua y 24, 2022. This wo k was suppo ed
in pa by he Eu opean Regional De elopmen Fund in he Re-
sea ch Cen e o Ad anced Mecha onic Sys ems p ojec , unde P ojec
CZ.02.1.01/0.0/0.0/16 019/0000867 wi hin he Ope a ional P og amme
Resea ch, De elopmen and Educa ion, and in pa by he Minis y
o Educa ion o he Czech Republic unde P ojec s SP2020/156 and
SP2021/32. (Co esponding au ho : Radana Kahanko a.)
Ma ina Lad o a, Radek Ma inek, Radana Kahanko a, Jind ich
B ablik, and Jakub Kola ik a e wi h he Depa men o Cybe -
ne ics and Biomedical Enginee ing, Technical Uni e si y o Os-
a a, 70800 Os a a, Czechia (e-mail: ma ina.lad o a@ sb.cz;
adek.ma inek@ sb.cz; adana.kahanko [email p o ec ed]; jind ich.b ablik@
sb.cz; jakub.kola ik@ sb.cz).
Jan Nedoma is wi h he Depa men o Telecommunica ions,
Technical Uni e si y o Os a a, 70800 Os a a, Czechia (e-mail:
jan.nedoma@ sb.cz).
Pa la Hanzliko a is wi h he Os a ska Uni e zi a, 70103 Os a a,
Czechia (e-mail: pa la.hanzliko [email p o ec ed]).
Michael Douglas Nelson is wi h The Uni e si y o Texas, A ling on, TX
76019 USA (e-mail: [email p o ec ed]).
Digi al Objec Iden i ie 10.1109/RBME.2021.3055550
Fig. 1. Examples o MR mo ion a i ac s: (a) blu ing due o mo e
andom espi a o y mo ion and (b) ghos ing a i ac s caused by pe iodic
b ea hing [3].
issuepe usion,o MRspec oscopy).Toge he , hein o ma ion
p o ided can help make mo e accu a e diagnoses, and imp o es
ou abili y o moni o ea men ou comes [1].
This e iew ocuses on MRI applica ions ha equi e i al
sign synch oniza ion, namely wi h he ca diac cycle and/o
espi a o yexcu sions.Indeed, igge ing andga ingde icesand
algo i hms a e necessa y o ensu e high image quali y o egions
wi hin he ches and abdomen (e.g. hea , li e , panc eas). The
ask is o pe o m imaging du ing minimal mo emen o he
hea and ho ax, which causes mo ion a i ac s, appea ing as
shadows o blu ed con ou s on he image ( e e ed o as “ghos -
ing a i ac s” see Figu e 1). Synch oniza ion se es o supp ess
hese a i ac s bu is no wi hou se e al majo challenges. In
pa icula , synch oniza ion o biological signals is limi ed by
inhe en high- equency dis u bances and ex eme magne ic in-
duc ion, which in e e es wi h he measu emen o i al signs,
and ul ima ely comp omises MRI sequence synch oniza ion
[2], [3].
A. Abdominal MRI
Abdominal MRI is widely used due o i s abili y o ex ac
in o ma ion a he le el o issue composi ion and o assess
unc ional s a us, including he me abolic s uc u e o he issue.
I allows clinicians o espond o issue damage o dys unc ion
and o adap he he apy o disease p e en ion s a egy acco d-
ingly. Gi en he e sa ili y o MRI, i can de ec a ple ho a o
abdominal diso de s, such as s ea osis, ib osis, in lamma ion,
This wo k is licensed unde a C ea i e Commons A ibu ion 4.0 License. Fo mo e in o ma ion, see h p://c ea i ecommons.o g/licenses/by/4.0/
LADROVA e al.: MONITORING AND SYNCHRONIZATION OF CARDIAC AND RESPIRATORY TRACES 201
and umo s (malignan and benign). Fo example, when exam-
ining he li e , bile duc s, and panc eas, MR cholangiopanc e-
a og aphy begins o eplace he in asi e endoscopic me hod
in diagnos ic indica ions. Also, MRI can be used o iden i y
in lamma o y o neoplas ic diseases wi h bowel wall abno -
mali ies o classi y some ypes o C ohn’s disease by accu a e
de ec ion o indi idual lesions and e alua ion o disease ac i i y.
Mo eo e , MRI is also an excellen ool o di e en ia e he
benign na u e o asymp oma ic ad enal lesions, he p obabili y
o which inc eases wi h highe age and is becoming a common
p oblem. Clinical e alua ion wi h MRI also plays a c ucial ole
in he diagnosis, planning, and assessmen o ea men o bo h
benign and malignan gynecological condi ions, and has e en
p o ed o be supe io o compu e omog aphy in he diagnosis
o u e ine and ce ical cance [1], [4].
B. Ca dio ascula MRI
Ca dio ascula magne ic esonance imaging (CMRI) is in-
c easingly used o examine hea s uc u e and unc ion. I s
non-in asi e na u e, oge he wi h i s a oidance o ionizing
adia ion, allow o epea able, low- isk cha ac e iza ion o he
myoca dium and i s associa ed componen s, h oughou disease
p og ession/ eg ession. One o he mos equen applica ions
o CMRI in clinical p ac ice is he assessmen o a ial and
en icula mo phology. Due o CMRI’s high spa ial esolu-
ion, h ee-dimensional co e age, and excellen high con as -
o-noise a io (CNR), e alua ion o chambe dimension, size and
shape is highly obus and ep oducible [5]–[7]. As such, CMRI
is ecognized o i s accu a e cha ac e iza ion and de ec ion o
ca diomyopa hies (hype ophic o es ic i e ca diomyopa hy,
e c.), pa aca diac masses (bo h malignan and benign ca diac
umo sincluding seconda y umo s, pseudo umo s andin aca -
i a y h ombi), congeni al hea diseases, and condi ions o he
pe ica dium, sep al de ec s, obs uc i e lesions, pos ope a i e
s a es and mo e. Ca dio ascula MRI also includes s uc u es
beyond he hea , including he ao a and o he majo blood
essels. Fo example, MRI can be used o de ec ao ic aneu ysm
and dissec ion, as well as a he oscle o ic plaque [5], [6], [9].
Synch onizing CMRI wi h he ca diac cycle p o ides ad-
di ional insigh in o ca diac unc ion and myoca dial ia-
bili y, allowing examina ion o myoca dial ischemia and/o
acu e/ch onic myoca dial in a c ion. In eg a ion o CMRI wi h
eloci y/ low measu emen s p o ides insigh in o ca diac hemo-
dynamics and/o al ula unc ion, such as mi al, icuspid
and pulmona y in low e sus egu gi a ion, al ula s enosis,
pulmona y hype ension, o p os he ic al e unc ion [5], [8],
[9].Fu he mo e,asCMRIhase ol ed,pa icula lyo e hepas
10-15 yea s, mo e no el applica ions ha e eme ged, including
MR angiog aphy, myoca dial issue cha ac e iza ion, and my-
oca dial pe usion imaging [10]–[12].
C. High-Field MRI
The e is a gene al end in he ield o MRI o inc ease mag-
ne ic ield s eng h. In jus he pas 10 yea s, we ha e wi nessed
an ex ensi e expansion o clinical scanne s om 1.5 T o 3 T,
wi h wo o he majo endo s now o e ing FDA-app o ed
Fig. 2. Compa ison o he quali y o ce eb al angiog aphy images a
(a) 1.5 T, (b) 3 T, and (c) 7 T magne ic ield s eng hs [8].
7 T clinical scanne s. In p inciple, inc easing he magne ic ield
s eng h is di ec ly associa ed wi h inc easing signal in ensi y;
howe e , i b ings o he sou ces o e o . Wi h he highe mag-
ne ic ield s eng h, he inhomogenei y bo h o magne ic and
adio equency ield con ibu e o he deg ada ion o image
quali y, which has o be eclaimed by di e en op imiza ion
echniques [13]–[16]. Thus, be o e he inc eased signal in ensi y
andiso opic esolu ioncanbe ealized,sophis ica edalgo i hms
mus i s be de eloped and in eg a ed. Ano he limi a ion o
imaging in high magne ic ields a e he magne ic e ec s on
he elec ical signals used o moni o ing i al signs o he
pa ien ; challenging synch oniza ion (see mo e in Sec ion II-A).
Toge he , hese inhe en limi a ions o en lead o p olonged
scan imes, and in some cases, imp ac icable long b ea h-hold
imes [17], [18].
Ne e heless, imaging a highe ield s eng hs holds g ea
p omise. The con as be ween blood and issue is much mo e
esol ed, and he e is g ea po en ial o accele a ed imaging
and educing imaging a i ac s; majo ad an ages when imaging
small, as -mo ing s uc u es [8], [19]. Fo example, he in-
c eased signal ene gy has a g ea ad an age in MR angiog aphy,
whe e iny essels, such as ce eb al a e ies, a e mo e isible
a 7 T han a 1.5 T (see Figu e 2). In his con ex , high ield
s eng h MRI p omises o p o ide new insigh in o p e iously
un esol ed ana omical s uc u e and physiological unc ion in
i o [8], [18].
D. MRI Synch oniza ion
Synch oniza ion o MRI (o ga ing/ igge ing) is dependen
upon eal- ime acquisi ion o ca dio espi a o y unc ion. As
such, MRI ga ing can be di ided in o wo main ca ego ies:
espi a o y, which allows educing mo ion a i ac s in
he image esul ing om he ches mo emen du ing a
pa ien ’s ee b ea hing (when scanning o an abdominal
and ho acic a ea), and
ca diac, he goal o which is o elimina e he e ec o
myoca dial mo emen and cap u e a hea scan in he
speci ic phase o i s cycle (when scanning o a ho acic
a ea), usually moni o ed by elec oca diog aphy (ECG)
signal.
202 IEEE REVIEWS IN BIOMEDICAL ENGINEERING, VOL. 15, 2022
Fig. 3. The basic p inciple o he p ospec i e igge ing o (a) mo pho-
logical imaging, (b) cine imaging.
Synch oniza ion o MRI can be di ided in o wo basic p in-
ciples ”p ospec i e and e ospec i e. In he case o p ospec-
i e igge ing, he MRI acquisi ion is igge ed by he desi ed
physiologic e en (e.g. R wa e o ECG signal) wi h a speci ic
delay o by eaching he speci ied le el o inspi a ion. Thus, he
acquisi ion usually coincides wi h he mos mechanically quie
phase o he ca diac/ espi a o y cycle (see Figu e 3) [20].
P ospec i e igge ing in cine imaging allows da a acquisi ion
co e ing mos o he ca diac cycle, de e mined by he numbe o
ca diac phases o segmen s wi hin an R-R in e al. The acqui ed
da aa e so ed in ok-spaces( ep esen ing he indi idual ames)
acco ding o he ca diac phase, and each k-space is illed o e
se e al hea bea s. This unc ional se s a s wi h he R wa e.
Since he du a ion o he R-R in e al a ies sligh ly om
he hea bea o he end, he las 10% o he R-R in e al is
usually no sampled (see Figu e 3(b)). P ospec i e igge ing
has ad an ages in noise il a ion.
The in e al o acquisi ion is o en se such ha he de ec o
in en ionally igno es any high ampli udes o he han R wa es,
p e en ing alse igge ing. This abili y, howe e , is p oblema ic
when moni o ing pa ien s su e ing om apid o i egula ac-
i i y ”a hy hmias. In pa ien s wi h p ema u e hea bea s, he
ea lie R wa e is passed because he g adien pulses igge ed
by he p e ious R wa e a e s ill unning, which esul s in
ex ended acquisi ion ime. This hea a e a iabili y mus be
conside ed when planning he acquisi ion window posi ioning
o a p ospec i ely igge ed examina ion. Fo he de ec ion o
he nex R wa e, he acquisi ion window posi ion should no
be oo close o he nex R wa e. An acquisi ion window placed
oo close may in e e e wi h he nex R wa e and sho en he
co esponding R-R in e al. Du ing he scan, he examine mus
Fig. 4. The basic p inciple o he e ospec i e ga ing.
Fig. 5. The p inciple o ca diac igge ing.
moni o changes in he hea cycle and app op ia ely adap he
igge ing pa ame e s [21], [22].
Re ospec i e ga ing allows con inuous acquisi ion o MR
da a (see Figu e 4). Bo h he image and he hea / espi a o y
signal a e cap u ed o e se e al cycles and used o econs uc
he image by eo de ing, g ouping, o co ela ing wi h phase o
he ca dio espi a o y cycle. This p ocedu e equi es uncon en-
ional “ eal- ime” pulse sequence (e.g., o unc ional imaging)
and acquisi ion so wa e decisions, because he me hod o da a
acquisi ion changes as i uns. In his way, e ospec i e ga ing
uses complex me hods o in e e ence il e ing [20], [21].
The main ad an age o e ospec i e acquisi ion is he abili y
o collec da a om all hea phases. Like p ospec i e igge ing,
e ospec i e me hods may ha e p oblems wi h a hy hmias and
low R-wa e ampli udes. The sys olic and dias olic pe iods a e
une enly al e ed in case o hea a e a iabili y o a hy hmia
e en s, so e ospec i e so wa e is unable o compensa e by
app op ia e da a segmen a ion, esul ing in e o [21], [22].
The ollowing chap e s ou line common p oblems ela ed
o ca diac cycle and espi a o y synch oniza ion, summa ize
a ailable synch oniza ion echniques commonly used in clinical
p ac ice, as well as in oduce se e al no el synch oniza ion
app oaches cu en ly unde de elopmen . We discuss he ad-
an ages and disad an ages o each app oach, especially in he
case o he inc easingly popula high ield s eng h MRI.
II. CARDIAC GATING METHODS
Ca diac ga ing is c i ically impo an o CMRI. In cu en
p ac ice, ca diac ac i i y is mos commonly moni o ed by ECG
signal. The p inciple o ca diac igge ing (see Figu e 5)is
based on he de ec ion o a change in signal o he hea (e.g.,
he R wa e o ECG signal, en icula depola iza ion). Gi en
he p ominence o he R wa e, and i s ou ine use in ca diac
LADROVA e al.: MONITORING AND SYNCHRONIZATION OF CARDIAC AND RESPIRATORY TRACES 203
Fig. 6. Compa ison o ECG- igge ed and non- igge ed images using (a) T2-Weigh ed Fa -Supp essing Sequence, and (b) T1-Weigh ed
Myoca dial-Supp essing Sequence.
physiology o deno e he beginning o he ca diac cycle, ca diac
imaging is o en igge ed by he R wa e [23]. Depending on he
imaging being pe o med, de ec ion o he R wa e may ini ia e
a se ies o e enly imed acquisi ions ac oss he R- o-R in e al
in o de o econs uc a cinema ic image o ca diac sys ole and
dias ole.Al e na i ely, heR-wa emaybeused ode ine he ime
pe iod o a single acquisi ion (e.g. end-sys ole o mid-dias ole).
The mos commonly used hea scan sequences a e cine
T1/T2-weigh ed sequences, a -supp essing T2-weigh ed se-
quences, and myoca dial-supp essing T1-weigh ed sequences.
These examina ions a e usually pe o med unde espi a o y
quiescence, wi h he subjec s holding hei b ea h o he en i e
measu emen pe iod “ om 6 o 25 seconds ” o a oid espi a o y
mo emen a i ac . Figu e 6 shows examples o scans ig-
ge ed by combina ion o ECG signal and a b ea h-holding/ ee-
b ea hing. As can be app ecia ed, combining ECG igge ing
wi h espi a o y quiescence imp o es o e all image sha pness
and elimina es mo ion a i ac s.
A. Ca diac Ga ing Challenges
A i ac s du ing MRI may o igina e om bo h he pa ien and
he measu emen sys em. Fi s ly, he elec odes and associa ed
connec o sandcablesshouldbe made o non- e omagne ic ma-
e ial o educe magne ic ield dis o ion, whe eas in e e ence
may alsely igge he scanne andcause loss o synch oniza ion
wi h he hea [21], [24]. Blood low in he hea can induce
ol age and gene a e hyd odynamic a i ac s. Since blood is
an elec ically conduc i e liquid whose mo emen p oduces an
elec ical cu en added o he hea signal, a magne ohyd ody-
namic e ec occu s. The elec ical signal gene a ed in his way
usually a ec s he T wa e o ECG signal (see Figu e 7). I he
Fig. 7. Demons a ion o magne ohyd odynamic a e ac a ec ing
ECG wa e o m measu ed: (a) ou side he in luence o MR magne ic
ield, (b) in he 1.5 T magne ic ield, whe e bo h he R wa e and he
T wa e acqui e simila ampli udes.
T wa e occu s a a ime o apid mo emen o blood om he
hea , he T wa e is dis o ed [25]. In addi ion, su ace ecei e
coils a e commonly used in CMRI examina ions o ampli y and
imp o e heacqui ed signal, causing his in e e ence oinc ease
signi ican ly.
O he p oblems, such as diso de s o ca diac conduc ion sys-
em o un ela ed physiological p ocesses (e.g., muscle emo ),
a e addi i e o he in e e ence men ioned abo e. The op imal
image quali y equi es app op ia e elec ode placemen ha
maximizes he ampli ude o he R-wa e while minimizing hese
undamen al a i ac s. Ex eme changes, such as he noise o a
high-ampli ude g adien sys em o he small elec ical cu en s
caused by a change o magne ic ield g adien , a e e y dis up-
i e. Howe e , due o he la ge equency di e ence be ween
204 IEEE REVIEWS IN BIOMEDICAL ENGINEERING, VOL. 15, 2022
Fig. 8. ECG wa e o m wi h i s igge ing signal.
he noise and ECG, high equencies can o en be supp essed by
il e ing [21], [26].
In many applica ions, bo h p ospec i e and e ospec i e e-
jec ion o a hy hmia has been in eg a ed in o acquisi ion and
econs uc ion so wa e. In his case, an accep ance window
ha allows R-R a iabili y mus be speci ied. This s ep usually
inc eases he acquisi ion ime, and he examine has o decide
whe he o educe he scan ime by inc easing he numbe o
segmen s a he expense o image quali y. Howe e , he use o
p ospec i e ga ing ins ead o e ospec i e ga ing can o e come
ex eme de ia ions o he R-R in e al. Typically, he sho e
R-R in e al should be used o schedule he acquisi ion window,
whichmus be sligh lysho e han hesho es R-Rin e al.The
esul ing image will ep esen an incomple e hea cycle, bu a
calcula iono ejec ion ac ion (amongo he ou comemeasu es)
is s ill possible [21], [24].
The a i ac s ela ed o magne ic ield a e pa icula ly p o-
nounceddu ingmeasu ing a highmagne ic ields eng h. When
using ield s eng hs highe han 3 T, he in luence o he mag-
ne ohyd odynamic e ec on he signal inc eases, and ob ain-
ing a clea signal o su icien quali y o aul less igge ing
becomes mo e di icul [27], [28]. As ul a-s ong MRI ields
become mo e widesp ead, solu ions o his sensi i i y issue a e
inc easingly needed. Thus, new me hods o igge ing CMRI,
discussed in mo e de ail below, ha e been de eloped and a e
cu en ly being s udied.
B. Elec oca diog aphy
Sensing o he ECG signal (see Figu e 8) is one o he
bes known and mos commonly used me hods o moni o ing
ca diac ac i i y. The ECG measu emen s consis o placing he
elec odes on he pa ien ’s ches a he speci ic loca ions. I is
measu ed in cu en leads, usually in 12 leads o s anda d non-
MR diagnos ic measu emen s wi h 3 limb elec odes included.
When igge ing CMRI, ewe leads a e su icien , because he
signal does no se e as a ool o a diagnose o he hea unc ion
diso de s bu only o he QRS complexes de ec ion. Thus, he
numbe o elec odes is commonly educed o h ee o ou (see
Figu e 9) [24].
Al hough ECG is a means o quick ca diac unc ion eco ding
om which each phase o he ca diac cycle can be de e mined
o he pu pose o MRI igge ing, many p oblems wi h he
MRI de ice i sel and i s magne ic ield, such as a i ac s o
complica ions when measu ing wi h ce ain ma e ials, a ise.
Fo he bes possible p e en ion o a i ac s, i is necessa y o
Fig. 9. Typical dis ibu ion o ECG elec odes in MR en i onmen s:
(a) – pa allel dis ibu ion ad an ageous o high magne ic ield s eng hs,
(b) – elec ode dis ibu ion no mally used a 1.5 T ield s eng hs.
Fig. 10. Example o a ailable ECG-based senso s: (a) Wi eless ECG
uni o sensing in MR en i onmen [32]. (b) Quad ode ECG elec ode
o he MR ga ing [33].
p epa e he skin well a he loca ions o ECG elec odes (mos
o en loa ing elec odes) placemen , since accu a e de ec ion
o low po en ials equi es minimal skin impedance and op imal
elec odecon ac wi h he skin. Theadded noise ha esul s om
poo elec ode con ac wi h he skin hen leads o e oneous
igge ing du ing he CMRI examina ion. Immedia ely be o e
he examina ion, he hai mus be sha ed, and he skin su ace
sc ubbed o wi h a mild ab asi e soap o gel be o e elec odes
a e applied; complica ing he exam and adding discom o o he
pa ien [20], [21].
Fu he mo e, ECG measu emen s equi e some sa e y p e-
cau ions due o he in e ac ion o he ECG sys em wi h RF and
g adien sys ems, since ECG, as a measu emen wi h elec ically
ac i e componen s, b ings he isk o supe icial hea ing o he
pa ien ’sskino e enbu ns esul ing omhigh ol ageinduc ion
in ECG ha dwa e [29], [30]. To p e en cu en s occu ing in
he ECG leads due o he apid swi ching o g adien ields, he
loca ion o he leads has o comp ise no loops, and he wi es
should be as sho as possible. The possibili y o bu ns due o
in e ac ion wi h he RF ield should be educed by loca ion o
he wi es ou side he esona o s, and he ba e y-powe ed ECG
measu ing uni (see Figu e 10(a)) should be used o ensu e
gal anic sepa a ion o he MR sys em and he pa ien [31].
All o he majo MRI endo s o e ECG ga ing p oduc s,
and se e al comme cially a ailable p oduc s a e also a ail-
able h ough hi d pa y endo s. Mode n p oduc s include
MR-compa ible 3-lead ECG igge ing de ice using a secu e
ixed elec ode layou (see Figu e 10(b)), which es ic s cable
leng h by dic a ing a igh elec ode placemen pa e n and hus,

LADROVA e al.: MONITORING AND SYNCHRONIZATION OF CARDIAC AND RESPIRATORY TRACES 205
Fig. 11. The example o he ECG wa e o m o ca diac igge ing: (a) be o e (I) and a e (II) sequence s a , (b) and (c) du ing he acquisi ion wi h
ailed igge ing, (d) du ing he acquisi ion wi h success ul igge ing, (e) wi h imp ope ly posi ioned ECG elec odes, ( ) wi h mo ion a i ac s.
p o ides op imal signal pe o mance and sa e y due o la ge
elec ode con ac a ea. This new design signi ican ly lowe s
esis ance using he unique gel, and educes a leas pa ly
pa ien p epa a ion ime and discom o hanks o i s o m o
disposable pa ch [33]. Se e al comme cially a ailable sys ems
allow measu emen s o mo e i al signs oge he , such as ECG,
espi a o y unc ion and blood p essu e, so ha p o ide a de-
ailed in o ma ion abou pa ien ’s condi ion du ing examina ion
[34].
As desc ibed abo e, i is also impo an o conside he in-
luence o magne ohyd odynamic e ec s du ing ECG synch o-
niza ion. This e ec causes ECG signal dis o ion and p e en s
a p ope de ec ion o R wa e and subsequen synch oniza ion.
Fo example, K ug e al. [35] and Snyde e al. [36] ha e
shown ha ECG igge ing is no app op ia e o high ields. A
ield s eng hs beyond 3 T, he ECG eco ding is bo h spa ially
and empo ally dis o ed, o he poin ha he R wa e may no
longe be clea ly iden i iable o o e shadowed by he T wa e
dominance, exceeding he R wa e by 20% o i s ampli ude.
Indeed, he ampli ude o he T wa e can e en be augmen ed
a ield s eng hs as low as 1.5T [37], challenging ansla ion
o ECG moni o ing/synch oniza ion a highe ield s eng hs.
While he p e alence o his p oblem emains incomple ely
unde s ood, some epo s es ima e he p oblem o exis in as
many as 30% o cases [27], [38]. This is pa icula ly oubling,
gi en he impo ance o accu a e R wa e egis a ion o image
acquisi ion [27], [28], [39].
Figu e 11 shows examples o he ECG signal wi hin examina-
ion wi h a ious de o ma ions ha p e en p ope synch oniza-
ion. To clea ly demons a e he e ec s o he MR en i onmen
on he ECG signal, Figu e 11(a) shows he ECG signal p io o
ini ia ing a scan sequence (I), and du ing acquisi ion (II). No e
how he ECG signal is dis o ed by he RF pulse du ing acquisi-
ion, p e en ing R wa e delinea ion, simila ly o o he cases in
Figu e 11(b) and Figu e 11(c), when only se e al R wa es we e
de ec ed. The co ec igge signal ob ained om he dis o ed
ECG du ing acquisi ion is only achie ed in Figu e 11(d).Fig-
u e 11(e) shows an example o low ampli ude R-wa es los in he
baseline noise and hus, hei ailed delinea ion. I is caused by
poo elec odes cleaning and s icking, insu icien sha ing, and
imp ope posi ioning o elec odes. Mo ion a i ac s a e deno ed
in Figu e 11( ), when he signal is comple ely dis o ed, and R
wa es a e no de ec able.
Fo all hese easons, mo e ad anced me hods o R wa e
de ec ion and magne ohyd odynamic a i ac supp ession ha e
been de eloped and used, such as noise cancella ion [40], in-
dependen componen analysis [41], [42], nonlinea Bayesian
il e ing [42], wa ele ans o m [44] o hei combina ions. Fo
example, Abi-Abdallah e al. [45] p oposed signal decompo-
si ion using wa ele ans o ma ion and subsequen adap i e
il e ing. Fo his app oach, an o -line wa ele ans o ma ion
p ocess is made o elimina e he delay in signal il e ing as much
as possible, gene a ing a e e ence signal ha can be used wi h
an adap i e il e du ing he eal- ime calcula ion phase. The
algo i hm also calcula es he espi a o y synch oniza ion signal
by ex ac ing a b ea h wa e o m ha modula es he ECG signal.
Then, a combina ion o bo h hea and espi a o y igge ing
signals pe o ms MR synch oniza ion.
Mo emode napp oachincludesa eal- imehighe -o de QRS
de ec o based on adap i e h esholding [46]. The h eshold uses
a ou h cen al momen calcula ion ha ep esen s a signi ican
signal change wi hin he QRS complex compa ed o o he com-
ponen s, such as he T o P wa e. S äb e al. [47] obse ed
only a e occasions o alse nega i e, alse posi i e o misplaced
igge e en so ECG igge inga ields eng h7Tbyincluding
a lea ning phase o he R-wa e de ec ion. The p oposed igge
algo i hm lea ns he shape o he ising edge o he R-wa e
while he subjec is lying ou side he magne bo e, whe e he
magne ohyd odynamic e ec is negligible. A e lea ning phase
is comple ed, he algo i hm compa es di e en de i ed en i ies
o he incoming ECG signal wi h he co esponding en i ies o
he lea ned shape in eal ime.
206 IEEE REVIEWS IN BIOMEDICAL ENGINEERING, VOL. 15, 2022
Fig. 12. Typical placemen o VCG elec odes in MR en i onmen .
Al hough he discussed me hods, imp o ing he R wa e
delinea ion, eached e y high accu acy in ca diac igge ing,
he p ocessing algo i hms ha e unduly high compu a ional e-
qui emen s and ha e no been ye sui able o in oduc ion in o
he medical p ac ice. The insu icien compu ing pe o mance
in he pas was he main limi ing ac o o using hese com-
plex me hods, which emained o be used only in he esea ch
a ea. Howe e , he inc easing pe o mance o mic op ocesso
echnology (mul ico e p ocesso s, p og ammable ga e a ays,
e c.) b ings new ends and possibili ies in a ailable compu e
equipmen , signal p ocessing and analysis o e he pas ew
yea s. On he o he hand, al hough he so wa e imp o emen o
ECG synch oniza ion does no demand he addi ional ha dwa e,
he esea ch o o he sensing me hods (wo king on ano he
physical p inciple) could inc ease he accu acy o ca diac syn-
ch oniza ion igh in he lowes senso y laye . Thus, oge he
wi h ad anced p ocessing algo i hms, hey could p o ide highe
image quali y o diagnos ics.
C. Vec o ca diog aphy
Vec o ca diog aphy (VCG) desc ibes elec ical ac i i y o he
hea by h ee independen loops, each ep esen ing indi idual
phases o he ca diac cycle (P wa e, QRS complex, and T wa e).
The loops can be displayed in a one-dimensional image, simila
o he con en ional ECG, as well as wo- and h ee dimensional
loop econs uc ions, ep esen ed by he ampli ude (mV) o he
elec ical signal be ween leads (i.e. X, Y lead; X, Z lead; Y, Z
lead; o ac oss each o he X, Y, and Z leads). In e ms o diag-
nos ic in o ma ion, VCG is mo e sensi i e o he de ec ion o
hype ophyand ischemichea disease [48]–[51]. In he MR en-
i onmen , VCG is mo e esis an o he magne ohyd odynamic
e ec , since he hea ’s elec ical axis is o ien ed in he opposi e
di ec ion o blood low h ough he hea . Fo his eason, some
s udies ha e begun o in es iga e CMRI synch oniza ion using
he VCG ins ead o he ECG signal, whe e he ec o model is
used o app oxima e he ECG signal om any lead. F om an
applica ion pe spec i e, he main di e ence be ween ECG and
VCG esides in he placemen o he elec odes a ached o he
pa ien ’s ches (see Figu e 12).
As men ioned, VCG has gained in popula i y wi hin he MR
communi y, gi en i s esis ance o he magne ohyd odynamic
Fig. 13. (a) Typical VCG wa e o m and (b) mani es a ion o magne o-
hyd odynamic e ec .
Fig. 14. Illus a ion PPG based sys em p inciples and deploymen :
(a) Example o inge PPG uni o measu emen in MR en i on-
men [32], (b) P inciple o PPG signal sensing om inge , (c) PPG
wa e o m wi h i s igge signal.
e ec (see Figu e 13). Indeed, i s u ili y o ca diac synch o-
niza ion has been ecognized o mo e han wo decades, wi h
a deg ee o success [24], [26], [52]. Like ECG moni o ing,
howe e , he me hod lags in cases o se e e a hy hmia, when
he igge ing sys em is unable o di e en ia e he QRS loop
om he loop gene a ed by he ec opic bea . Likewise, VCG
is simila ly a ec ed by high s eng h and complexi y o he
magne ohyd odynamic signal in 7 T ield s eng h [35].
D. Pulse Wa e
Ca diac synch oniza ion using a pe iphe al pulse measu ed
by pho ople hysmog aphy (PPG) is no as widesp ead as a
s anda d ECG signal measu emen bu is a sui able al e na i e,
especially gi en i s esis ance o MR a i ac s. The PPG signal
(see Figu e 14(c)) is mos o en measu ed by a ligh senso
(see Figu e 14(a)), which wo ks by assessing he blood abso p-
ion o ligh co esponding o changes in blood olume (see
Figu e 14(b)). The ise and all o his measu ed wa e e lec
he sys ole and dias ole p ocess, making i a sui able ool o
igge CMRI [53]. While pulse wa e de ec ion is echnically
simple , in ol ing placemen o a de ice on an easily accessible
inge (as oppose o elec odes placed on he ches ), se e al
majo disad an ages ha e p e en ed i s widesp ead adop ion o
ou ine MR synch oniza ion. Fi s , he ligh senso is suscep ible
o mo emen , especially mo emen o he inge /hand on which
LADROVA e al.: MONITORING AND SYNCHRONIZATION OF CARDIAC AND RESPIRATORY TRACES 207
Fig. 15. Pulse wa es wi h igge ing ma ks (a) signal wi hou a i ac s, (b) signal wi h a i ac s caused by he mode a e mo emen o he inge , (c)
signal dis o ed by s ong and sha p mo emen .
Fig. 16. Sel -Ga ing wa e o m wi h i s igge signal.
he senso is loca ed. Figu e 15 illus a es ypical mo emen
a i ac , and he associa ed igge ing e o ha accompanies
such mo emen . Spiche e al. [53], [54] ha e a emp ed o
o e come his limi a ion by in oducing a con ac less ideo-
based PPG sys em, bu ha e no ye succeeded in widesp ead
clinical in eg a ion o his app oach. Second, he delay be ween
ca diac ac i i y (i.e. mechanical ejec ion o blood) and de ec ion
o ha ac i i y in he pe iphe y c ea es a sizable ime delay (i.e.
se e al hund ed millisecond delay needed o pulse o a el o
he pe iphe y), he ex en o which canno be accu a ely, no
ep oducibly co ec ed o [27]. The e o e, in mos cases, his
igge ing me hod is only used when o he igge ing me hods
ail.Themos no ableexcep ionis lowimaging o ce eb ospinal
luid h ough ce eb al en icles and openings, o which PPG
igge ing is supe io o ECG ga ing [55].
E. Sel -Ga ing Me hods
Sel -ga ing (S-G) echniques, see [97]–[100], elimina e he
need o ex a ha dwa e o CMRI synch oniza ion by ecei ing
he igge ingin o ma iondi ec ly omMRsignals.Theme hod
eliesei he onacqui ing adial(o spi al) k-spaceda a ha co e
he k-space cen e in each eadou o on acqui ing addi ional
(non-phase-encoded) na iga o eadou s h ough he k-space
cen e . This majo ad an age is no wi hou i s own d awbacks
howe e ,assuchanapp oachsigni ican lyex ends hescan ime.
The p inciple o S-G CMRI is based on changes o mo emen
o olume in he image. Tha means a se ies o consecu i e
echoes demons a es peak al e a ions co esponding o p opo -
ional changes in o al ans e se magne iza ion due o o gan
mo emen and changes in blood olume. This da a is hen
p ocessed and segmen ed o c ea e an ECG compensa ing signal
(see Figu e 16), acco ding o which he image is subsequen ly
econs uc ed acco ding o he associa ed ca diac cycle, ep e-
sen ed by he ampli ude and phase o he echo [97]. Due o
i s na u e, his signal is esis an o a i ac s ha may a ec
igge ing signals o o he me hods (ECG, VCG, e c.). The
S-G me hod is based on a i s -di e ence de ec ion algo i hm;
howe e , many s udies deal wi h mo e complex ypes o inc ease
he accu acy o ca diac synch oniza ion [99].
Nijm e al. [99] compa ed he classical me hod, based on
he i s di e ence calcula ion (including he signal il e ing by
i s de i a i e), wi h mo e complex me hods, such as he median
empla e ma ching echnique (wi h calcula ion o he co ela ion
be ween he o iginal signal and he empla e, de e mined by hal
he RR median calcula ed by he i s di e ence me hod) and
polynomial ma ching echnique (a polynomial wi h leng h o
an RR in e al median is used as a empla e he e). The cubic
polynomial me hod achie ed he lowes e o and he highes
SNR and was deemed “compa able” o ECG synch oniza ion.
I is wo h no ing howe e , ha none o he S-G me hods
ou pe o med he ECG measu emen echnique o he o iginal
i s di e ence me hod.
In o de o elimina e e iciency de ici s o he p e iously
in oduced S-G me hods, he o he s include using modula ion
o MR echo ha occu s h ough: (1) issue mo emen i sel
(echo-peak me hod), (2) kymog am (1D ga ing signal om
he empo ally e ol ing 2D cen e o mass), and (3) 2D low-
esolu ion image co ela ion [101]–[105]. In each case, he se
o iews a each ca diac phase was de i ed using ime-s amp
in o ma ionandcomplexlinea in e pola ionalgo i hm.A linea
eg essionalgo i hmwasused ocompu esignalcomponen s o
indi idual sampled k-space posi ions (i.e., spa ial- equency do-
mains) ac oss ca diac phases. Then, he con olu ional algo i hm
o image econs uc ion c ea ed an image o each ca diac cycle.
The delay o all ob ained S-G signals is 2.5 ms. The echo-peak
me hodseems obe he mos p ac icalo he h eeme hods es ed
conside ing he image quali y, alues o he ime a iabili y o
he igge ing signal, and low compu a ional cos . Mo eo e ,
he co ela ion echnique equi es an ope a o ’s in e ac ion. All
h ee me hods achie ed e y simila esul s o image quali y
compa ed o ECG synch oniza ion [97].
Mos cen al line S-G me hods esul s in a doubling o he
acquisi ion ime, while adial s eak a i ac s a e encoun e ed
wi h he p ojec ion econs uc ion me hod and can in e e e
wi h image in e p e a ion. To o e come hese limi a ions, C owe
e al. [100] u ilized S-G igge ing on a double-echo sequence
208 IEEE REVIEWS IN BIOMEDICAL ENGINEERING, VOL. 15, 2022
whe e he second g adien echo wi hou phase coding was
used o gene a e a igge signal. A sampling o he second
echo p o ided subjec i e image quali y sco e be ween good
and excellen , which means a sa is ac o y esolu ion and con-
as o image in e p e a ion and de ini ion o ine ana omic
s uc u es. Also, no s a is ically signi ican di e ences we e ob-
ainedbe weenS-Gand ECG-ga edimagesandmass pa ame e s
measu emen s in all olun ee s a clinically p ac ical acquisi ion
imes, ex ended negligibly. This echnique is no suscep ible o
he adials eaka i ac s,bu he ewasnos a is icallysigni ican
di e ence in image quali y be ween S-G and ECG synch oniza-
ion.
Mos S-G me hods ha e been success ully used o e ospec-
i e ga ing o CMRI, which is no as sensi i e o changes in hea
a e (as in he case o p ospec i e igge ing) and p o ides an
image h oughou hehea cycle,whichispa icula lyimpo an
o de e mining compulsi e sys olic o dias olic p ocesses [99].
The S-G echnique is unsui able o p ospec i e igge ing,
which equi es accu a e de e mina ion o igge delay in o de
o place an acquisi ion window in he a ge phase o he ca diac
cycle [28], [97], [99]. Fu he mo e, hese me hods a e lagging
in e y high hea a e and some hea diseases exp essing
hemsel es by e y mild myoca dial con ac ion and elaxa ion
h oughou he hea cycle [100]. Hiba e al. [98] o e came his
challenge o scanning a a e y as hea a e (up o 600 bpm)
when es ing he S-G echo-peak me hod du ing imaging a a ’s
hea . The S-G igge ing p o ided be e imaging o papilla y
muscles han ECG ga ing and achie ed highe SNR alues.
F. Op ical Me hods
The use o ibe op ic senso s b ings an inno a i e app oach
o biological signals measu emen and is inc easingly being
handled by cu en esea ch. Op ical senso s enable sensing a
wide ange o signals, such as sound mani es a ions, p essu e
changes, o empe a u e a ia ions. All hese signals a e mea-
su ed non-in asi ely simply by a aching he senso o he sens-
ingloca ion,e.g.,apa ien ’sches o back.Theop icalmeasu ing
o i al signs in he MRI en i onmen has he basic ad an ages
o i s ha mlessness since he senso is made only o op ical ibe
ma e ial and p o ec i e elemen s (cases). Mo eo e , he senso s
a e highly immune o he a i ac s a ising om magne ic and
high- equency elec omagne ic ields, so no a i ac s occu in
he image. O he bene i s include he e y small dimensions o
he senso s, hei low weigh , and he minimiza ion o wi es.
Howe e , he signi ican disad an age o op ical me hods is he
high cos and size o he in e oga ion and measu ing uni , which
allows he con e sion o signals in o digi al o ma . On he o he
hand, his uni can be used o e alua e he esul s o mul iple
senso s. Thus, he p ice o he sys em can be dec eased when
comp ised o he depa men wi h mul iple MR scanne s, which
is usual in he clinical p ac ice.
Today, he mos commonly used ypes o op ical senso s
include senso s based on ligh in e e ence, so-called in e e -
ome ic senso s, and senso s wi h Fibe B agg G a ing (FBG),
whiche alua echangeso ligh e lec edon heg a ings uc u e.
The mino bu cu en ly e ol ing pa consis s o mic o- and
Fig. 17. P inciple o mic o-bending op ical senso . The de ice de ec s
changes in he inpu ligh due o he mechanical ac ion ( o ce) on he
op ical ibe .
Fig. 18. Illus a ion o PCG based sys em p inciples and deploymen :
Typical in e e ome ic senso placemen o he ca diac ac i i y mea-
su emen in posi ion: (a) “ s anding, (b) ” supine; (c) Example o an
In e e ome ic senso (d). PCG wa e o m wi h i s igge signal.
mac o-bending ibe op ic senso s, which wo k on he p inciple
o e alua ing changes in ligh ou pu caused by op ical ibe
bends c ea ed h ough a “sandwich” mic o-bende s uc u e (see
Figu e 17) [56]–[58].
The p inciple o measu ing hea a e using in e e ome ic
senso s (see Figu e 18(c)) is gene ally based on phonoca dio-
g aphy (PCG) signal (see Figu e 18(d)), gene ally consis ing
o se e al hea sounds (S1 ”S4). S ill, in mos cases, only he
i s wo sounds a e e iden , o which he i s (S1) e lec s he
en icula sys ole. The mechanical-acous icac i i yo he hea
and he mechanical ac i i y o he lungs cause changes in he
e ac i eindexo heco eandin heleng ho hemeasu inga m
o he senso placed on hebody (seeFigu e 18(a),(b)).The in e -
e ome ic measu ing sys em hen e alua es hese changes. This
me hod o ca diac ac i i y moni o ing has indeed been desc ibed
p e iously [59]–[67]. The p inciple o hea a e measu emen
using an FBG senso is based on ballis oca diog aphy (BCG,
see Figu e 19(d)) and has been desc ibed p e iously [69]–[76].
Ca diac ac i i y is mani es ed physiologically in he ches a ea
by a sligh p essu e ac ion occu ing due o he mechanical
LADROVA e al.: MONITORING AND SYNCHRONIZATION OF CARDIAC AND RESPIRATORY TRACES 215
Fig. 29. The p inciple o na iga o igge ing in CMRI.
image da a. Howe e , da a needs o be acqui ed h oughou he
hea cyclein CMRI, so igge ingby one na iga ionecho wi hin
one cycle is insu icien o his pu pose [141].
Pe e s e al. [139] used wo na iga ion echoes wi hin one
hea cycle o CMRI espi a o y igge ing ” jus be o e he
QRS complex occu ed and 500 ms a e ha . Da a is ecei ed
when bo h na iga o posi ions all in o he accep ance window.
The e was no signi ican di e ence be ween he image quali y o
he alues o he obse ed pa ame e s (le en icula unc ion
and olume) by igge ing and b ea h-holding, bu he CNR o
hese images showed di e ences on behal o he b ea h-hold
me hod (47 ±14 s. 21 ±10). Howe e , he na iga ion echoes
p o ided su icien image quali y o diagnosis and inc eased
he e iciency and speed o he examina ion ( o al ime o
b ea h-holding was 10 minu es, including pauses, o igge ing
3.7 minu es), which b ings bene i s o pa ien s unde s ess o
comple ely incapable o coope a ion in b ea hing.
D. Sel -Ga ing Me hods
Like ca diac synch oniza ion, S-G echniques (see
Sec ion II-E) also deal wi h espi a o y igge ing, because
he a o e-men ioned me hods o moni o ing espi a o y ac i i y
may lag i he posi ion o he ches wall changes wi h espec
o he hea ’s posi ion du ing se e al espi a o y cycles. The
S-G echnique o en allows igge ing by bo h i al unc ions
in CMRI examina ions, whe e ob aining he indi idual signals
by p ope il a ion (each signal has a di e en equency
esponse), see [98], [141]–[143].
The me hod is based on calcula ing he co ela ion be ween
he igge image and he a ge image ob ained in he same
hea phase and he desi ed posi ion o he b ea h cycle. La son
e al. [141] il e he b ea h cu e ob ained by S-G signals and
co ela ion using low-pass FIR il e and speci y a espi a o y
h eshold (see Figu e 30), which de ines he da a u he used
o econs uc he image a each phase o he hea cycle. This
p ocedu e inc eased he sha pness and con as o he image
compa ed o he ee-b ea hing image wi hou igge ing, bu
he di e ence in image quali y compa ed o he b ea h-hold
Fig. 30. Respi a o y Sel -Ga ing wa e o m wi h illus a ion o ga ing
p inciple.
Fig. 31. Example o he mic o-bend senso implemen a ion in o
ma [162].
echnique was no signi ican , simila ly o [142], [143]. Ne -
e heless, ca diac and espi a o y S-G signals co ela e s ongly
wi h ex e nally measu ed signals using ECG (R=1.00 ±0)
and espi a o y bel s (R=0.82 ±0.1) [143].
O he success ul applica ions o he e ospec i e espi a o y
S-G me hods we e ca ied ou in lung UTE (ul a-sho echo
ime) imaging in [165]–[168]]. The lung in es iga ion is pa ic-
ula ly challenging no only because o espi a o y and ca diac
mo ion limi ing he image quali y, bu also in insically low MR
signal caused by he low wa e concen a ion, mul iple ai ” issue
in e aces, o low p o on densi y o he lung pa enchyma. Since
na iga o sequence causes a concomi an sa u a ion o lung
pa s, S-G me hod ep esen s less complica ed way o ee-
b ea hing lung imaging [166], [169]
Real- ime S-G igge ing has been demons a ed in [144],
[145]. This app oach p omises o signi ican ly educe acqui-
si ion ime while main aining image quali y simila o he e -
ospec i e me hod bu equi es mo e sophis ica ed so wa e o
signal de ec ion and p ocessing.
E. Op ical Me hods
The ield o op ical senso s and ibe s also in es iga es he
espi a o y synch oniza ion o MR, simila o he ca diac (see
Sec ion II-F), when bo h i al signs a e o en combined o he
measu emen o he pa ien ’s s a us du ing MRI. Fo measu e-
men o b ea hing ac i i y by op ical senso s, esea che s use
in e e ome ic senso s [61]–[66], [146]–[149], FBG senso s
placed unde he pa ien ’s back [70]–[73], [75], as well as
mic o/mac o-bending ibe s [90], [93], [150]–[154], which a e
o en pa o so-called sma ex iles [155]–[161]. Example o
he mic o-bend senso implemen a ion in o ma is shown in Fig-
u e 31. The di e ence in measu emen o espi a ion compa ed
o ca diac ac i i y is he signal il e ing in a di e en equency

216 IEEE REVIEWS IN BIOMEDICAL ENGINEERING, VOL. 15, 2022
band o main ain only he desi ed b ea h cu e, i.e., wi hin he
ange o 0.05–2 Hz.
Yoo e al. [163] p esen ed an op ion o measu ing only
espi a o y ac i i y, which esponds o changes in ai empe -
a u e du ing inhala ion and exhala ion, acqui ed by a special
senso . The au ho s designed wo di e en ypes o op ical
senso s o moni o ing he espi a o y a e ” nasal and ab-
dominal. A senso a ached o he nasal ca i y measu es he
ai low using a he moch omic pigmen ha changes colo de-
pending on he empe a u e a ia ions wi hin he b ea h cycle
(inhala ion/exhala ion). The second ype o senso is loca ed
on he pa ien ’s abdomen and measu es b ea hing ac i i y as
he ci cum e ence a iance. The au ho s e i ied he use o he
p oposed senso s wi hou de e io a ing he MR image, which
p omises a sui abili y o he ibe -op ic espi a ion senso s o
espi a o y moni o ing du ing su gical p ocedu es pe o med
inside an MRI sys em.
Measu emen o espi a o y a e by FBG senso s in MR en i-
onmen waspe o medin[68],[74],[77],[78],[80],[81],[164].
All hese s udies eached he Bland-Al man de i ed accu acy o
he espi a o y a e g ea e han 95% ela ed o con en ional
espi a o y senso s, so he op ical me hod appea s o be a good
al e na i e o MRI espi a o y igge ing. In connec ion wi h
hea a e moni o ing, his echnique becomes e y in e es ing
o MRI examina ionssince onesenso wouldbeable omeasu e
he o e all i al signs o he pa ien , mo eo e con inuously, as
desc ibed in [83].
Fajkus e al. [132] es ed espi a o y igge ing a a 3 T
ield s eng h using an FBG senso applied o he nasal oxygen
capsule. They il e ed he ob ained signal in he band o 0.1 ”
0.5 Hz and compa ed he calcula ed espi a o y ac i i y wi h
he con en ional measu emen by espi a o y bel s, whe e he
measu emen by op ical senso eached an accu acy based on
he Bland-Al man analysis o o e 95%. Acco ding o expe s,
he images om bo h igge ing me hods we e diagnos ically
bene icial, bu highe con as and sha pness o he con ou s
we e achie ed when using he op ical senso . Also, acco ding o
quan i a i e image analysis, images igge ed by FBG achie ed
be e esul s han espi a o y e e ence.
Respi a o y igge ing using a mic o-bend senso was es ed
a a ield s eng h o 1.5 T in [162]. The op ical signal eached
a e y high co ela ion R =0.971 wi h measu emen s by s an-
da d espi a o y senso s. No mo emen a i ac s o blu y pa s
occu ed in he image. The di e ence be ween he op ical and
na iga o me hods in assessing he SNR o he kidney and
he CNR kidney-spleen was no signi ican , bu he na iga o
me hod gained a signi ican ly be e diagnos ic quali y o he
images.
IV. DISCUSSION
The e iew o CMRI synch oniza ion me hods shows ha
oday’s esea ch ocuses mo e on he no el ones han imp o ing
he echniques mos widely used in clinical p ac ice. I is due o
ela i ely complica ed pa ien p epa a ion in case o ECG/VCG
and especially due o he inc easing complica ions o high ield
s eng h examina ion. Also, ela i ely pa ien - iendly PPG is
no sui able because o mo ion a i ac suscep ibili y and long
physiological delay. The con empo a y esea ch ocuses on wo
majo miles ones: (1) ad ancemen o so wa e ha can achie e
adequa e accu acy in he de ec ion o synch oniza ion poin s in
he signal o supp ess magne ic ield a i ac s, and (2) de elop-
men o new me hods o measu ing i al signs ha could eplace
s anda d ECG measu emen s in u u e.
Thanks o he ex eme inc ease in compu ing pe o mance
in he ecen yea s, i is possible o signi ican ly imp o e he
signal/image quali y by using ad anced p ocessing echniques.
Howe e , elying only on so wa e algo i hms can esul in a
numbe o compu e e o s, which can lead o he dis o ion o
some image segmen s and hus, supp ess impo an diagnos ic
in o ma ion. The e o e, i is undoub edly impo an o pay a en-
ion o he basic en i y o he en i e measu ing chain (senso s),
which could p o ide a desi able accu acy al eady on he lowes
laye and hus, oge he wi h using so wa e algo i hms, e en
be e o e all esul s.
Cu en ly, acous ic and accele ome ic igge ing me hods a e
mos sui able o in oduce in o p ac ice, p o iding sa e y and
com o o he pa ien s and high esis ance o a i ac s caused by
magne ic ields; e iciency o acous ic senso s has al eady been
success ully es ed a 7 T. The only d awback is suscep ibili y
o he PCG and SCG o in e e ence caused by g adien coil
swi ching, and acco dingly, he delay in signal ansmission o
he MR uni due o il a ion. O he in es iga ions, which a e s ill
in hei in ancy, such as op ical o DUS measu emen s, show
high-quali y hea a e calcula ions, bu some limi a ions ha e
no ye p o en hei usabili y in medical p ac ice: he op ical
me hod equi es a e y expensi e e alua ion uni , which could
become mo e accessible o e ime, and inaccu acy in DUS
measu emen s o pa ien s wi h ca diac diso de s means a majo
complica ion in ca diac examina ions.
The esea ch me hods ha e se e al common disad an ages:
Non-s anda dized senso placemen in con as wi h ECG
o VCG. The senso loca ion highly depends on he spe-
ci ic pa ien and his body s uc u e; some signals show
e y di e en wa e o ms when placed a di e se poin s o
he ches (e.g. SCG). The e o e, esea ch should handle
he possibili ies o measu emen wi hou he complica ed
a achmen o he senso o he pa ien ’s body, such as
senso s implemen ed in ex iles o ma s.
Signal delay compa ed o ECG signal which is gi en
by se e al a ibu es: (1) a physiological delay be ween
he R wa e and he al e na i e igge poin ( i s hea
sound, J-wa e e c., see Figu e 32), and (2) o he delays
supe imposed caused by he ansmission medium, elec-
onics ensu ing signal s a e and con e sion o a digi al
signal, o il a ion used o emo e undesi able compo-
nen s. Such a delayed igge signal may lag behind he
ECG igge o hund eds o milliseconds, collec ing da a
om he w ong phase o he ca diac cycle. The e o e,
he image may lose i s diagnos ic alue, and he acqui-
si ion needs o be epea ed, ex ending he examina ion
ime. Thus, supp ession o he signal delay in some way,
such as so wa e cus omiza ion o igge ing, should be
used.
LADROVA e al.: MONITORING AND SYNCHRONIZATION OF CARDIAC AND RESPIRATORY TRACES 217
TABLE I
THE CLASSIFICATION OF THE PRESENTED SYNCHRONIZATION METHODS
Fig. 32. Physiological delay o he indi idual hea signals compa ed
o he ECG wi h ma ked peaks ( igge ).
The p esen ed S-G me hods could sol e he p oblems o sen-
so placemen and signal delay e sus ECG. Ano he ad an age
o S-G me hods is he possibili y o espi a o y and ca diac
ga ing al oge he . Al hough his double igge ing p olongs he
equi ed scan ime signi ican ly, he o al examina ion ime is
sho ened in coope a ing pa ien s. In case o pa ien s unable o
assis in b ea hing, espi a o y synch oniza ion is a necessi y
o a success ul examina ion. Because espi a o y compensa ion
using na iga ion echoes lags due o he e y small acquisi ion
window igge ed by only one na iga ion echo pe hea cycle,
a single b ea h-hold examina ion s ill p e ails, which can cause
p oblems o many pa ien s.
Howe e , sho comings o S-G echniques lie in he ealiza-
ion o synch oniza ion i sel . In gene al, hese me hods ha e
low ha dwa e equi emen s a he expense o he complexi y o
so wa e, which p ocesses MR da a o gene a e a igge signal.
The e o e, me hods o measu ing i al unc ions, which enable
o dis inguish a espi a o y unc ion om he hea signal by
app op ia e il a ion (BCG, SCG), become p e e ed. Consid-
e ing he una ailabili y o op ical me hods, acous ic and SCG
me hodsa e cu en lyconside ed asmos p omisingme hods o
combining ca diac and espi a o y synch oniza ion and should
emain o be he subjec o u he esea ch in his a ea.
Table I subjec i ely summa izes me hods o ca diac and
espi a o y MRI synch oniza ion wi h he classi ica ion o hei
accu acy and a i ac esis ance:
Accu acy e e s o he success o co ec de ec ion o
ca diac unc ion wi h sequence ini ia ion in he desi ed
phaseo hehea / espi a o ycycle,whichenhancesimage
quali y. I is e alua ed wi h espec o cases o some
abno mali ies (e.g., disease, a hy hmia) o echnical lim-
i a ions, no o he o igin o MR a i ac s. Accu acy is
classi ied as ollows:
High ”me hodp o ides e yaccu a ehea / espi a o y
phasede ec ionandisminimallya ec edbyabno mal-
i ies, pa ien ’s physiology o mo emen s.
Medium ” me hod p o ides accu acy sui able o MR
ga ing bu is limi ed by some o he abo e-men ioned
p oblems.
Low ” me hod is no ecommended o MR ga ing due
o la ge ange o limi a ions.
Resis ance o MR a i ac s indica es he esis ance o e -
ec s o he MR en i onmen on a gi en signal (in luence
o elec omagne ic ield, magne ohyd odynamic e ec o
acous ic dis u bance) and deg ee o independence om
magne ic ield s eng h, classi ied as:
High ” me hod is comple ely esis an o MR a i ac s
and independen om magne ic ield s eng h.
Medium ” me hod is a ec ed only by one o he abo e-
men ioned MR in luences.
Low ” me hod is suscep ible o all e ec s o he MR
en i onmen .
Complexi y includes compu a ional equi emen s, a ail-
abili y, and he p ice o senso s o measu ing uni . Com-
pu a ional cos is a c ucial ac o in implemen a ion o he
measu ing sys em since i de e mines a unc ion o he
sys em in eal- ime. P ice is also a key poin o me hod
218 IEEE REVIEWS IN BIOMEDICAL ENGINEERING, VOL. 15, 2022
easibili y o clinical p ac ice. A me hod eligible o
in oducingin op ac iceshould accomplishacomp omise
be ween i s complexi y and pe o mance/accu acy.
Speci ic limi a ions closely ela e o he p e ious pa ame-
e sbu includede ailedknowledgeo hedisad an ageso
each me hod, which mus be elimina ed o educed as bes
as possible in o de o in oduce he me hod in o p ac ice
success ully.
V. CONCLUSION
Synch oniza ion o he ca diac cycle and espi a o y excu -
sions is necessa y o ca dio ascula and abdominal MRI o
op imal ep esen a ionand imagequali y.Thepape summa izes
echniquescu en ly a ailable and/o unde de elopmen ha o-
cus on inc easing p oblems wi h measu emen in high magne ic
ields, nowadays eaching up o 7 T. Wi h an ex eme inc ease in
compu ing pe o mance in ecen yea s, so wa e-based me h-
ods, such as S-G and na iga o s, a e he cen e o a en ion, and
hey unde wen a huge expansion. Howe e , hey s ill ha e some
disad an ages (compu e e o s, dis u bing s eady-s a e), which
could be sol ed using he ha dwa e-assis ed me hods based on
he non-elec ical measu emen s. F om such hese echniques,
acous ic and accele ome ic ones a e he mos p omising no
only due o he high accu acy bu also hanks o hei low p ice
and easy implemen a ion. Mo eo e , hey would p o ide he
possibili yo moni o ing he espi a o ysignal oge he wi hca -
diac unc ion and hus, would enable a “double” MR igge ing
app oach, impo an in ca dio ascula examina ions, especially
in non-coope a ing pa ien s. Wi h his ounda ion in place, he
u u e o MR synch oniza ion is encou aging; howe e , mo e
wo k is needed in o de o maximize he echnology a ailable
and de elop new app oaches no ye imagined.
REFERENCES
[1] N. C. Gou soyiannis, Ed., Clinical MRI o he Abdomen. Be lin, Heidel-
be g: Sp inge Be lin Heidelbe g, 2011.
[2] A.Va gheseandD.J.Pennell,Eds.,Ca dio ascula Magne ic Resonance
Made Easy. Edinbu gh, U.K.: Chu chill Li ings one, 2008.
[3] A. S adle , W. Schima, A. Ba-Ssalamah, J. Ke enbach, and E. Eisen-
hube , “A i ac s in body MR imaging: Thei appea ance and how o
elimina e hem,” Eu . Radiol., ol. 17, no. 5, pp. 1242–1255, Ap . 2007.
[4] R. C. Semelka, M. A. B own, E. Al un, and R. C. Semelka, Abdominal-
Pel ic MRI, 4 h ed. Hoboken, NJ, USA: Wiley, 2016.
[5] G. Cons an ine, K. Shan, S. D. Flamm, and M. U. Si anan han, “Role o
MRI in clinical ca diology,” Lance , ol. 363, no. 9427, pp. 2162–2171,
2004.
[6] T. Sa o e al., “Valida ion s udy on he accu acy o echoca diog aphic
measu emen s o igh en icula sys olic unc ion in pulmona y hype -
ension,” J. Ame . Soc. Echoca diog ., ol. 25, no. 3, pp. 280–286, 2012.
[7] P.C.Yange al., “New eal- ime in e ac i e ca diac magne ic esonance
imaging sys em complemen s echoca diog aphy,” J. Ame . College Ca -
diol., ol. 32, no. 7, pp. 2049–2056, 1998.
[8] T. Niendo , D. K. Sodickson, G. A. K ombach, and J. Schulz-Menge ,
“Towa d ca dio ascula MRI a 7 T: Clinical needs, echnical solu ions
and esea ch p omises,” Eu . Radiol., ol. 20, no. 12, pp. 2806–2816,
2010.
[9] G. Pons-Llado and F. Ca e as, A las o P ac ical Applica ions o Ca dio-
ascula Magne ic Resonance. New Yo k, NY, USA: Sp inge Science
Business Media, 2005.
[10] R. R. Edelman, H. P. Ma le, D. J. A kinson, and H. M. Hoogewoud, “MR
angiog aphy,” Ame . J. Roen genol., ol. 154, no. 5, pp. 937–946, 1990.
[11] V. M. Fe ei a, S. K. Piechnik, M. D. Robson, S. Neubaue , and T. D.
Ka ami sos, “Myoca dial issue cha ac e iza ion by magne ic esonance
imaging,” J. Tho acic Imag., ol. 29, no. 3, pp. 147–154, 2014.
[12] M. Je osch-He old, O. Muehling, and N. Wilke, “MRI o myoca dial
pe usion,” Semina s Ul asound, CT MRI, ol. 27, no. 1, pp. 2–10, 2006.
[13] M. Schä , S. Koze ke, S. E. Fische , and P. Boesige , “Ca diac SSFP
imaging a 3 esla,” Magn. Reson. Med., ol. 51, no. 4, pp. 799–806,
2004.
[14] H. J. Michaely e al., “Analysis o ca diac unc ion compa ison be ween
1.5 Tesla and 3.0 Tesla ca diac cine magne ic esonance imaging,” In es .
Radiol., ol. 41, no. 2, pp. 133–140, 2006.
[15] R. Neza a , M. S ube , R. Ouwe ke k, A. M. Gha ib, M. Y. Desai, and
R. I. Pe ig ew, “B1-insensi i eT2 p epa a ion o imp o ed co ona y
magne ic esonance angiog aphy a 3 T,” Magn. Reson. Med., ol. 55,
no. 4, pp. 858–864, 2006.
[16] A. N. P ies , P. M. Bansmann, M. G. Kaul, A. S o k, and G. Adam,
“Magne ic esonance imaging o he co ona y essel wall a 3 T. using an
obliquely o ien ed ein e sion slab wi h adiaba ic pulses,” Magn. Reson.
Med., ol. 54, no. 5, pp. 1115–1122, 2005.
[17] M. E. Ladd e al., “P os and cons o ul a-high- ield MRI/MRS o human
applica ion,” P og. Nucl. Magn. Reson. Spec osc., ol. 109, no. 14,
pp. 1–50, 2018.
[18] A. M. Gha ib, A. Elagha, and R. I. Pe ig ew, “Ca diac magne ic es-
onance a high ield: P omises and p oblems,” Cu . P oblems Diagn.
Radiol., ol. 37, no. 2, pp. 49–56, 2008.
[19] F. on Knobelsdo -B enkenho e al., “Ca diac chambe quan i ica ion
using magne ic esonance imaging a 7 esla-a pilo s udy,” Eu . Radiol.,
ol. 20, no. 12, pp. 2844–2852, 2010.
[20] A. D. Els e , “Ques ions and answe s in MRI,” 2021. [Online]. A ailable:
h ps://m iques ions.com/mo ion- ela ed-a i ac s.h ml
[21] M. S. Naci , A. Za odni, N. Kawel, E.-Y. Choi, J. A. C. Lima, and D. A.
Bluemke, “Ca diac magne ic esonance imaging and i s elec oca dio-
g aphs (ECG): Tips and icks,” In . J. Ca dio asc. Imag., ol. 28, no. 6,
pp. 1465–1475, 2012.
[22] R. Y. Kwong, M. Je osch-He old, and B. Heyda i, Eds., Ca dio ascula
Magne ic Resonance Imaging, 2nd ed., New Yo k, NY, USA: Sp inge
New Yo k, 2019.
[23] R. B. an Heeswijk, G. Bonanno, S. Coppo, A. Co is ine, T. Kobe ,
and M. S ube , “Mo ion compensa ion s a egies in magne ic esonance
imaging,” C i . Re . Biomed. Eng., ol. 40, no. 2, pp. 99–119, 2012.
[24] R. Geo ge, J. Dela C uz, R. Singh, and R. Ilango an, “MRI Mas e ” 2021.
[Online]. A ailable: h ps://m imas e .com/index-3.h ml
[25] G. M. Pohos and K. S. Nayak, Handbook o Ca dio ascula Magne ic
Resonance Imaging, 2nd ed., New Yo k, NY, USA: In o ma Heal hca e,
c2007.
[26] S. E. Fische , S. A. Wickline, and C. H. Lo enz, “No el eal- ime -wa e
de ec ion algo i hm based on he ec o ca diog am o accu a e ga ed
magne ic esonance acquisi ions,” Magn. Reson. Med.: O icial J. In .
Soc. Magn. Reson. Med., ol. 42, no. 2, pp. 361–370, 1999.
[27] T. F auen a h e al., “Acous ic ca diac igge ing: A p ac ical solu ion
o synch oniza ion and ga ing o ca dio ascula magne ic esonance a
7 esla,” J. Ca dio asc. Magn. Reson., ol. 12, no. 1, pp. 1–14, 2010.
[28] M. Becke e al., “Compa ison o le en icula unc ion assess-
men using phonoca diog am- and elec oca diog am- igge ed 2D SSFP
CINE MR imaging a 1.5 T. and 3.0 T,” Eu . Radiol., ol. 20, no. 6,
pp. 1344–1355, 2010.
[29] H. Kugel e al., “Haza dous si ua ion in he MR bo e: Induc ion in ECG
leads causes i e,” Eu . Radiol., ol. 13, no. 4, pp. 690–694, 2003.
[30] S. A. Lange and Q. N. Nguyen, “Cables and elec odes can bu n pa ien s
du ing MRI,” Nu sing 2006, ol. 36, no. 11, pp. 11–18, 2006.
[31] T. F auen a h, T. Niendo , and M. Kob, “Acous ic me hod o synch o-
niza ion o magne ic esonance imaging (MRI),” Ac a Acus ica Uni ed
Acus ica, ol. 94, no. 1, pp. 148–155, 2008.
[32] The Mammendo e Ins i u Fü Physik Und Medizin, “MIPM: MRI-
compa ible p oduc s,” 2021. [Online]. A ailable: h ps://www.mipm.
com/en/ou -p oduc s/accesso ies
[33] “MiRTLE Medical, LLC,” MiRTLE,” 2016-2017. [Online]. A ailable:
h p://www.mi lemed.com/p oduc .h ml
[34] BIOPAC Sys ems Inc., “BIOPAC Sys ems Inc.,” 2021. [Online]. A ail-
able: h ps://www.biopac.com/p oduc /
[35] J. W. K ug, G. Rose, D. S uch , G. Cli o d, and J. Os e , “Limi a ions
o VCG based ga ing me hods in ul a high ield ca diac MRI,” J.
Ca dio asc. Magn. Reson., ol. 15, no. S1, pp. 1–2, 2013.
[36] C. J. Snyde e al., “Ini ial esul s o ca diac imaging a 7 esla,” Magn.
Reson. Med., ol. 61, no. 3, pp. 517–524, 2009.
[37] D. Abi-Abdallah, V. Robin, A. D ochon, and O. Fokapu, “Al e a ions
in human ECG due o he Magne oHyd oDynamic e ec : A me hod o
accu a eR peak de ec ion in hep esenceo high MHD a i ac s,”inP oc.
29 h Annu. In . Con . IEEE Eng. Med. Biol. Soc., 2007, pp. 1842–1845.
LADROVA e al.: MONITORING AND SYNCHRONIZATION OF CARDIAC AND RESPIRATORY TRACES 219
[38] B. Sie e s, M. Wiesne , N. Ki ia, U. Speise , S. Schoen, and R. H.
S asse , “In luence o he igge echnique on en icula unc ion
measu emen s using 3-Tesla magne ic esonance imaging: Compa ison
o ECG e sus pulse wa e igge ing,” Ac a Radiologica, ol. 52, no. 4,
pp. 385–392, 2011.
[39] T. F auen a h, S. Koze ke, P. Boesige , and T. Niendo , “Ca diac ga ing
ee o in e e ence wi h elec o-magne ic ields a 1.5T., 3.0T. and 7.0T,”
in P oc. Annu. Mee ing In . Soc. Magn. Reson. Med., 2008, p. 207.
[40] F. Odille, C. Pasquie , R. Abache li, P.-A. Vuissoz, G. P. Zien a a, and
J.Felblinge , “Noise cancella ion signal p ocessing me hod and compu e
sys em o imp o ed eal- ime elec oca diog am a i ac co ec ion du -
ing MRI da a acquisi ion,” IEEE T ans. Biomed. Eng., ol. 54, no. 4,
pp. 630–640, Ap . 2007.
[41] J. Os e , O. Pie quin, R. Abache li, M. K aeme , and J. Felblinge , “Inde-
penden componen analysis-based a e ac educ ion: Applica ion o he
elec oca diog am o imp o edmagne ic esonanceimaging igge ing,”
Physiol. Meas., ol. 30, no. 12, pp. 1381–1397, 2009.
[42] J. W. K ug, G. Rose, G. D. Cli o d, and J. Os e , “ECG-based ga ing in
ul a high ield ca dio ascula magne ic esonance using an independen
componen analysis app oach,” J. Ca dio asc. Magn. Reson., ol. 15,
no. 1, pp. 1–13, 2013.
[43] J. Os e , O. Pie quin, M. K aeme , and J. Felblinge , “Nonlinea Bayesian
il e ing o denoising o elec oca diog ams acqui ed in a magne ic
esonance en i onmen ,” IEEE T ans. Biomed. Eng., ol. 57, no. 7,
pp. 1628–1638, Jul. 2010.
[44] D.Abi-Abdallah,E.Chau e ,L.Bouche -Fak i,A.Ba ailla d,A.B igue ,
and O. Fokapu, “Re e ence signal ex ac ion om co up ed ECG using
wa ele decomposi ion o MRIsequence igge ing:Applica ion osmall
animals,” Biomed. Eng. Online, ol. 5, no. 1, pp. 1–12, 2006.
[45] D. Abi-Abdallah, A. D ochon, V. Robin, and O. Fokapu, “Ca diac and
espi a o y MRI ga ing using combined wa ele sub-band decomposi ion
and adap i e il e ing,” Ann. Biomed. Eng., ol. 35, no. 5, pp. 733–743,
2007.
[46] M. Schmid , J. W. K ug, A. Gie s o e , and G. Rose, “A eal- ime QRS
de ec o based on highe -o de s a is ics o ECG ga ed ca diac,” Compu .
Ca diol. 2014, ol. 2014, no. 41, pp. 733–736, 2014.
[47] D. S äb, J. Roessle , K. O’B ien, C. Hamil on-C aig, and M. Ba h, “ECG
igge ing ul a-high ield ca dio ascula MRI,” Tomog aphy, ol.2,
no. 3, pp. 167–174, 2016.
[48] L. Edenb and , A. Hous on, and P. W. Mac a lane, “Vec o ca diog ams
syn hesized om 12-lead ECGs: A. new me hod applied in 1792 heal hy
child en,” Pedia . Ca diol., ol. 15, no. 1, pp. 21–26, 1994.
[49] M. Lingman e al., “T ansien epola iza ion al e a ions domina e he
ini ial phase o an acu e an e io in a c ion - a ec o ca diog aphy s udy,”
J. Elec oca diol., ol. 47, no. 4, pp. 478–485, 2014.
[50] M. Sede holm, “The o igin o moni o ing o acu e myoca dial in a c ion
wi h con inuous ec o ca diog aphy,” J. Elec oca diol., ol. 47, no. 4,
pp. 418–424, 2014.
[51] D.Co ez,J. M. Bos, and M. J. Acke man,“Vec o ca diog aphy iden i ies
pa ien s wi h elec oca diog aphically concealed long QT synd ome,”
Hea Rhy hm, ol. 14, no. 6, pp. 894–899, 2017.
[52] J. M. Chia, S. E. Fische , S. A. Wickline, and C. H. Lo enz, “Pe o mance
o QRS de ec ion o ca diac magne ic esonance imaging wi h a no el
ec o ca diog aphic igge ing me hod,” J. Magn. Reson. Imag., ol. 12,
no. 5, pp. 678–688, 2000.
[53] N. Spiche , M. Kukuk, S. Made wald, and M. E. Ladd, “Ini ial e alua ion
o p ospec i e ca diac igge ing using pho ople hysmog aphy signals
eco ded wi h a ideo came a compa ed o pulse oxime y and elec o-
ca diog aphy a 7T. MRI,” Biomed. Eng. Online, ol. 15, no. 1, pp. 1–28,
2016.
[54] N. Spiche , S. Made wald, M. E. Ladd, and M. Kukuk, “Hea a e moni-
o ing in ul a-high- ield MRI using equency in o ma ion ob ained om
ideo signals o he human skin compa ed o elec oca diog aphy and
pulse oxime y,” Cu . Di ec ions Biomed. Eng., ol. 1, no. 1, pp. 69–72,
Sep. 2015.
[55] J. Hodel e al., “In ac anial ce eb ospinal luid spaces imaging using
a pulse- igge ed h ee-dimensional u bo spin echo MR sequence wi h
a iable lip-angle dis ibu ion,” Eu . Radiol., ol. 21, no. 2, pp. 402–410,
2011.
[56] J. W. Be hold, “His o ical e iew o mic obend ibe -op ic senso s,” J.
Ligh w. Technol., ol. 13, no. 7, pp. 1193–1199, Jul. 1995.
[57] Y. Wang e al., “In ensi y measu emen bend senso s based on pe iod-
ically ape ed so glass ibe s,” Op . Le ., ol. 36, no. 4, pp. 558–560,
2011.
[58] P. Sama ki and S. Pull eap, “Fibe op ic senso applica ions o i al
signs moni o ing: A e iew,” in P oc. 7 h In . Elec . Eng. Cong ., 2019,
pp. 1–4.
[59] L.-G. Du and and P. Piba o , “Digi al signal p ocessing o he phonoca -
diog am: Re iew o he mos ecen ad ancemen s,” C i . Re . Biomed.
Eng., ol. 23, no. 3/4, pp. 163–219, 1995.
[60] C. Will, K. Shi, F. Lu z, R. Weigel, and A. Koelpin, “In elligen signal
p ocessing ou ine o ins an aneous hea a e de ec ion using a six-po
mic owa e in e e ome e ,” in P oc. In . Symp. In ell. Signal P ocess.
Commun. Sys ., 2015, pp. 483–487.
[61] P. Podb eznik, D. Donlagic, D. Lesnik, B. Cigale, and D. Zazula, “Cos -
e icien speckle in e e ome y wi h plas ic op ical ibe o unob usi e
moni o ingo human i alsigns,”J. Biomed. Op ., ol.18,no.10,pp. 1–8,
Oc . 2013.
[62] S. Sp age , D. Donlagic, and D. Zazula, “Moni o ing o basic human i al
unc ions using op ical in e e ome e ,” in P oc. IEEE 10 h In . Con .
Signal P ocess., 2010, pp. 1–4.
[63] S. Sp age , D. Donlagic, and D. Zazula, “Es ima ion o hea a e, espi-
a o y a e and mo ion by using op ical in e e ome e as body senso ,”
in P oc. Signal Image P ocess., 2011, pp. 280–287.
[64] S. Šp age , A. Holoba , and D. Zazula, “Feasibili y s udy o hea bea
de ec ion om op ical in e e ome ic signal by using con olu ion ke nel
compensa ion,” in P oc. In . Con . Bio-Inspi ed Sys . Signal P ocess.,
2013, pp. 396–400.
[65] I. Cikajlo, C. S. Š. T. D. Z. E ja eca, and D. Šp age , “Ca diac a hy hmia
ala m om op ical in e e ome ic signals du ing es ing o sleeping o
ea ly in e en ion,” Biocybe n. Biomed. Eng., ol. 36, no. 1, pp. 267–275,
2016.
[66] D. Zazula and S. Sp age , “De ec ion o he i s hea sound using ib e-
op ic in e e ome ic measu emen s and neu al ne wo ks,“ in P oc. 11 h
Symp. Neu al Ne w. Appl. Elec . Eng., 2012, pp. 171–176.
[67] Y.-H. Hsieh and N.-K. Chen, “Mic o ape ed Mach–Zehnde ibe in e -
e ome e o moni o ing p essu e luc ua ion and i s applica ions in pulse
a e de ec ion,” in P oc. 6 h IEEE/In . Con . Ad . In ocomm Technol.,
2013, pp. 113–115.
[68] J. Nedoma e al., “Magne ic esonance imaging compa ible non-in asi e
ib e-op ic senso s based on he b agg g a ings and in e e ome e s
in he applica ion o moni o ing hea and espi a ion a e o he hu-
man body: A compa a i e s udy,” Senso s, ol. 18, no. 11, pp. 1–30,
2018.
[69] P. Ro iz, L. Ca alho, O. F azão, J. San os, and J. Simões, “F om con-
en ional senso s o ib e op ic senso s o s ain and o cemeasu emen s
in biomechanics applica ions: A e iew,” J. Biomech., ol. 47, no. 6,
pp. 1251–1261, 2014.
[70] Ł. Dziuda, “Fibe -op ic senso s o moni o ing pa ien physiological
pa ame e s: A e iew o applicable echnologies and ele ance o use
du ingmagne ic esonanceimagingp ocedu es,” J. Biomed. Op ., ol.20,
no. 1, pp. 1–23, 2015.
[71] K. Che hana, A. S. G. P asad, S. N. Omka , and S. Asokan, “Fibe b agg
g a ing senso based de ice o simul aneous measu emen o espi a-
o y and ca diac ac i i ies,” J. Biopho on., ol. 10, no. 2, pp. 278–285,
2017.
[72] L. Dziuda, F. W. Skibniewski, M. K ej, and J. Lewandowski, “Moni-
o ing espi a ion and ca diac ac i i y using ibe b agg g a ing-based
senso ,” IEEE T ans. Biomed. Eng., ol. 59, no. 7, pp. 1934–1942,
Jul. 2012.
[73] M. Fajkus, J. Nedoma, R. Ma inek, V. Vasinek, H. Naze an, and P. Siska,
“A non-in asi e mul ichannel hyb id ibe -op ic senso sys em o i al
sign moni o ing,” Senso s, ol. 17, no. 12, pp. 1–17, 2017.
[74] Ł. Dziuda, F. W. Skibniewski, M. K ej, and P. M. Ba an, “Fibe B agg
g a ing-based senso o moni o ing espi a ion and hea ac i i y du ing
magne ic esonance imaging examina ions,” J. Biomed. Op ., ol. 18,
no. 5, pp. 278–285, 2013.
[75] D. Lo P es i e al., “Wea able sys em based on lexible FBG o es-
pi a o y and ca diac moni o ing,” IEEE Senso s J., ol. 19, no. 17,
pp. 7391–7398, Sep. 2019.
[76] Y. Haseda, J. Bone acino, H. -Y. Tam, S. Chino, S. Koyama, and H.
Ishizawa, “Measu emen o pulse wa e signals and blood p essu e by
a plas ic op ical ibe FBG senso ,” Senso s, ol. 19, no. 23, pp. 1–11,
2019.
[77] L. Dziuda, M. K ej, and F. W. Skibniewski, “Fibe B agg g a ing s ain
senso inco po a ed o moni o pa ien i al signs du ing MRI,” IEEE
Senso s J., ol. 13, no. 12, pp. 4986–4991, Dec. 2013.
[78] J. Nedoma e al., “Valida ion o a no el ibe -op ic senso sys-
em o moni o ing ca dio espi a o y ac i i ies du ing MRI exami-
na ions,” Ad . Elec . Elec on. Eng., ol. 15, no. 3, pp. 536–543,
2017.
[79] Ł. Dziuda and F. W. Skibniewski, “A new app oach o ballis oca dio-
g aphic measu emen s using ib e b agg g a ing-based senso s,” Biocy-
be n. Biomed. Eng., ol. 34, no. 2, pp. 101–116, 2014.
220 IEEE REVIEWS IN BIOMEDICAL ENGINEERING, VOL. 15, 2022
[80] L.Dziuda,J.Lewandowski, F.Skibniewski,andG.Nowicki,“Fib e-op ic
senso o espi a ion and hea a e moni o ing in he MRI en i onmen ,”
P ocedia Eng., ol. 47, pp. 1291–1294, 2012.
[81] J. Nedoma, M. Fajkus, R. Ma inek, and H. Naze an, “Vi al sign mon-
i o ing and ca diac igge ing a 1.5 esla: A p ac ical solu ion by an
MR-Ballis oca diog aphy ibe -op ic senso ,” Senso s, ol. 19, no. 3,
pp. 1–22, 2019.
[82] A. C. S. B au, C. T. Wheele , L. W. Hedlund, and G. A. Johnson, “Fibe -
op ic s e hoscope: A ca diac moni o ing and ga ing sys em o magne ic
esonance mic oscopy,” Magn. Reson. Med., ol. 47, no. 2, pp. 314–321,
2002.
[83] A. Rengle, L. Baboi, H. Sain -Jalmes, R. Sablong, and O. Beu , “Op ical
ca diac and espi a o y de ice o synch onized MRI on small animal,” in
P oc. 29 h Annu. In . Con . IEEE Eng. Med. Biol. Soc., 2007, pp. 2046–
2049.
[84] J. Nedoma e al., “A no el FBG-Based igge ing sys em o ca diac
MR imaging a 3 esla: A pilo p e-clinical s udy,” IEEE Access, ol.8,
pp. 181205–181223, 2020.
[85] J. De Jonckhee e e al., “OFSETH: Op ical ib e embedded in o echnical
ex ile o heal hca e, an e icien way o moni o pa ien unde magne ic
esonance imaging,” in P oc. 29 h Annu. In . Con . IEEE Eng. Med. Biol.
Soc., 2007, pp. 3950–3953.
[86] Z. Chen, J. T. Teo, S. H. Ng, and X. Yang, “Po able ibe op ic ballis-
oca diog am senso o home use,” P oc. SPIE, ol. 8218, 2012, A .
no. 82180X.
[87] Z. Chen, I. Ganno , J. T. Teo, S. H. Ng, and H. Yim, “Sma pillow o
hea - a e moni o ing using a ibe op ic senso ,” in P oc. SPIE, ol.7894,
2011, A . no. 789402.
[88] K. K ebbe e al., “Sma echnical ex iles based on ib e op ic senso s,”
P oc. SPIE, ol. 8421, 2012, A . no. 84212.
[89] A. G ille e al., “Op ical ibe senso s embedded in o medical ex iles o
heal hca e moni o ing,” IEEE Senso s J., ol. 8, no. 7, pp. 1215–1222,
Jul. 2008.
[90] X. Yang e al., “Tex ile ibe op ic mic obend senso used o hea bea
and espi a ion moni o ing,” IEEE Senso s J., ol. 15, no. 2, pp. 757–761,
Feb. 2015.
[91] D. Lo P es i e al., “Ca dio- espi a o y moni o ing in a che y using a
sma ex ile based on lexible ibe B agg g a ing senso s,” Senso s,
ol. 19, no. 16, pp. 1–14, 2019.
[92] D. L. P es i e al., “Ca diac moni o ing wi h a sma ex ile based on
polyme -encapsula ed FBG: In luence o senso posi ioning,” in P oc.
IEEE In . Symp. Med. Meas. Appl., 2019, pp. 1–6.
[93] Z. Chen, D. Lau, J. T. Teo, S. H. Ng, X. Yang, and P. L. Kei, “Simul a-
neous measu emen o b ea hing a e and hea a e using a mic obend
mul imode ibe op ic senso ,” J. Biomed. Op ., ol. 19, no. 5, pp. 1–11,
2014.
[94] K. Nassens ein e al., “Ca diac MRI: E alua ion o phonoca diog am-
ga ed cine imaging o he assessmen o global und egional le en ic-
ula unc ion in clinical ou ine,” Eu . Radiol., ol.22,no.3, pp. 559–568,
2012.
[95] S. Made wald e al., “7 esla ca diac imaging wi h a phonoca diog am
igge de ice,” in P oc. In . Soc. Magn. Reso. Med., 2011, p. 1322.
[96] MRI.TOOLS GmbH, “MRI.TOOLS – Inno a ion o medical imaging,”
2021. [Online]. A ailable: h ps://www.m i ools.de/index.php/p oduc s/
m i-accesso ies/easyac /
[97] A. C. La son, R. D. Whi e, G. Laub, E. R. McVeigh, D. Li, and O. P.
Simone i, “Sel -ga ed ca diac cine MRI,” Magn. Reson. Med., ol. 51,
no. 1, pp. 93–102, 2004.
[98] B. Hiba, N. Richa d, M. Janie , and P. C oisille, “Ca diac and espi a o y
double sel -ga ed cine MRI in he mouse a 7T,” Magn. Reson. Med.,
ol. 55, no. 3, pp. 506–513, 2006.
[99] G. M. Nijm, A. V. Sahakian, S. Swi yn, J. C. Ca , J. J. Sheehan, and
A. C. La son, “Compa ison o sel -ga ed cine MRI e ospec i e ca diac
synch oniza ion algo i hms,” J. Magn. Reson. Imag., ol. 28, no. 3,
pp. 767–772, 2008.
[100] M. E. C owe e al., “Au oma ed ec ilinea sel -ga ed ca diac cine imag-
ing,” Magn. Reson. Med., ol. 52, no. 4, pp. 782–788, 2004.
[101] T. A. Sp aggins, “Wi eless e ospec i e ga ing: Applica ion o cine
ca diac imaging,” Magn. Reson. Imag., ol. 8, no. 6, pp. 675–681,
1990.
[102] R. D. Whi e, C. B. Paschal, M. E. Clampi , T. A. Sp aggins, and
G. W. Lenz, “Elec oca diog aph-independen , ‘wi eless’ ca dio ascula
cine MR imaging,” J. Magn. Reson. Imag., ol. 1, no. 3, pp. 347–355,
1991.
[103] N. Gai and L. Axel, “Co ec ion o mo ion a i ac s in linog am and p o-
jec ion econs uc ion MRI using geome y and consis ency cons ain s,”
Med. Phys., ol. 23, no. 2, pp. 251–262, 1996.
[104] C.J.Ha dy,L.Zhao,X.Zong,M.Sa ana han,andE.K. Yucel,“Co ona y
MR angiog aphy: Respi a o y mo ion co ec ion wi h BACSPIN,” J.
Magn. Reson. Imag., ol. 17, no. 2, pp. 170–176, 2003.
[105] M. Kachel ieß, D.-A. Senns , W. Maxlmose , and W. A. Kalende ,
“Kymog am de ec ion and kymog am-co ela ed image econs uc ion
om subsecond spi al compu ed omog aphy scans o he hea ,” Med.
Phys., ol. 29, no. 7, pp. 1489–1503, 2002.
[106] J. M. Rubin, J. B. Fowlkes, M. R. P ince, R. T. Rhee, and T. L. Chene e ,
“Dopple USga ingo ca diacMRimaging,”Acad. Radiol., ol.7,no.12,
pp. 1116–1122, 2000.
[107] F. Ko ding e al., “Dopple ul asound compa ed wi h elec oca diog am
andpulseoxime yca diac igge ing:A pilo s udy,”Magn. Reson. Med.,
ol. 74, no. 5, pp. 1257–1265, 2015.
[108] F. Ko ding e al., “Dopple ul asound igge ing o ca dio ascula MRI
a 3T in a heal hy olun ee s udy,” Magn. Reson. Med. Sci., ol. 16, no. 2,
pp. 98–108, 2017.
[109] Ul asound Supply, “Ul asound Supply - Ul asounds, C-A ms,
P obes,” 2021. [Online]. A ailable: h ps://www.ul asoundsupply.
com/p oduc s/ul asound-p obes/ge-p obes/pa6-8-ca diac-sec o -
p obe/
[110] A.Taebi,B.Sola ,A.Boma ,R.Sandle ,andH.Mansy,“Recen ad ances
in seismoca diog aphy,” Vib a ion, ol. 2, no. 1, pp. 64–86, 2019.
[111] O. T. Inan e al., “Ballis oca diog aphy and seismoca diog aphy: A
e iew o ecen ad ances,” IEEE J. Biomed. Heal h In o ma ., ol. 19,
no. 4, pp. 1414–1427, Jul. 2015.
[112] G. Cosoli, L. Casacandi ella, E. P. Tomasini, and L. Scalise, “Hea a e
assessmen by means o a no el app oach applied o signals o di e en
na u e,” J. Phys.: Con . Se ., ol. 778, no. 1, pp. 1–8, 2017.
[113] F. Land eani e al., “Bea - o-bea hea a e de ec ion by sma phone’s
accele ome e s: Valida ion wi h ECG,” in P oc. 38 h Annu. In . Con .
IEEE Eng. Med. Biol. Soc., 2016, pp. 525–528.
[114] M. J. Tadi e al., “A eal- ime app oach o hea a e moni o ing using a
hilbe ans o m in seismoca diog ams,” Physiol. Meas., ol. 37, no. 11,
pp. 1885–1909, 2016.
[115] A. Taebi, A. J. Boma , R. H. Sandle , and H. A. Mansy, “Hea a e mon-
i o ing du ing di e en lung olume phases using seismoca diog aphy,”
in P oc. Sou heas Con, 2018, pp. 1–5.
[116] M. J. Tadi, E. Leh onen, O. Lahdenoja, M. Pankaala, and T. Koi is o,
“An adap i e app oach o hea bea de ec ion based on S- ans o m in
seismoca diog ams,” in P oc. 38 h Annu. In . Con . IEEE Eng. Med. Biol.
Soc., 2016, pp. 2370–2373.
[117] J. Wahls om e al., “A hidden ma ko model o seismoca diog aphy,”
IEEE T ans. Biomed. Eng., ol. 64, no. 10, pp. 2361–2372, Oc . 2017.
[118] J. Yao, S. T idandapani, W. F. Au e mann, C. A. Wick, and P. T. Bha i,
“An adap i e seismoca diog aphy (SCG)-ECG mul imodal amewo k
o ca diac ga ing using a i icial neu al ne wo ks,” IEEE J. T ans. Eng.
Heal h Med., ol. 6, no. 1, pp. 1–11, Oc . 2018.
[119] M. J. Tadi, T. Koi is o, M. Pänkäälä, and A. Paasio, “Accele ome e -
based me hod o ex ac ing espi a o y and ca diac ga ing in o ma ion
o dual ga ing du ing nuclea medicine imaging,” In . J. Biomed. Imag.,
ol. 2014, no. 1, pp. 1–11, 2014.
[120] M. Je osch-He old e al., “The seismoca diog am as magne ic- ield-
compa ible al e na i e o he elec oca diog am o ca diac s ess moni-
o ing,” In . J. Ca diac Imag., ol. 15, no. 6, pp. 523–531, 1999.
[121] R. Ma inek e al., “A low-cos sys em o seismoca diog aphy-based
ca diac igge ing: A p ac ical solu ion o ca dio ascula magne ic es-
onance imaging a 3 esla,” IEEE Access, ol. 7, pp. 118608–118629,
2019.
[122] SIEMENS AG, “SyngoMRE11 ope a o 1710 manual - body,” [Online].
A ailable: h ps://cbbi.udel.edu/wp-con en /uploads/2017/01/Body.pd
[123] M. Zai se , J. Macla en, and M. He bs , “Mo ion a i ac s in MRI: A
complex p oblem wi h many pa ial solu ions,” J. Magn. Reson. Imag.,
ol. 42, no. 4, pp. 887–901, 2015.
[124] J. P. Ea ls, V. B. Ho, T. K. Foo, E. Cas illo, and S. D. Flamm, “Ca diac
MRI: Recen p og ess and con inued challenges,” J. Magn. Reson. Imag.,
ol. 16, no. 2, pp. 111–127, 2002.
[125] A. D. Sco , J. Keegan, and D. N. Fi min, “Mo ion in ca dio ascula MR
imaging,” Radiology, ol. 250, no. 2, pp. 331–351, 2009.
[126] P. G. Danias and W. J. Manning, “MR na iga o s and hei use in ca diac
and co ona y imaging,” in Co ona y Magne ic Resonance Angiog aphy,
1s ed., New Yo k, NY, USA: Sp inge -Ve lag, 2002, pp. 219–227.

LADROVA e al.: MONITORING AND SYNCHRONIZATION OF CARDIAC AND RESPIRATORY TRACES 221
[127] S. K. Lemieux and G. H. Glo e , “An in a ed de ice o moni o ing
he espi a ion o small oden s du ing magne ic esonance imaging,” J.
Magn. Reson. Imag., ol. 6, no. 3, pp. 561–564, 1996.
[128] T. Noponen e al., “Spi ome y based espi a o y ga ing me hod o
ca diac PET and MRI imaging,” in P oc. IEEE Nucl. Sci. Symp. Con .
Rec., 2008, pp. 4832–4834.
[129] S. S. Vasanawala and E. Jackson, “A me hod o apid obus es-
pi a o y synch oniza ion o MRI,” Pedia . Radiol., ol. 40, no. 10,
pp. 1690–1692, 2010.
[130] D. A. Feinbe g e al., “Hyb id ul asound MRI o imp o ed ca diac
imaging and eal- ime espi a ion con ol,” Magn. Reson. Med., ol. 63,
no. 2, pp. 290–296, 2010.
[131] C.San ellie al.,“Respi a o ybellows e isi ed o mo ioncompensa ion:
P elimina y expe ience o ca dio ascula MR,” Magn. Reson. Med.,
ol. 65, no. 4, pp. 1097–1102, 2011.
[132] M. Fajkus e al., “MR ully compa ible and sa e FBG b ea hing senso :
A p ac ical solu ion o espi a o y igge ing,” IEEE Access, ol.7,
pp. 123013–123025, 2019.
[133] H. Kandpal, R. Sha ma, K. S. Madhusudhan, and K. S. Kapoo ,
“Respi a o y- igge ed e sus b ea h-hold di usion-weigh ed MRI o
li e lesions: Compa ison o image quali y and appa en di usion coe -
icien alues,” Ame . J. Roen genol., ol. 192, no. 4, pp. 915–922, 2009.
[134] J. N. Oshinski, L. Ho land, S. Mukundan, W. T. Dixon, W. J. Pa ks, and
R. I. Pe ig ew, “Two-dimensional co ona y MR angiog aphy wi hou
b ea h holding,” Radiology, ol. 201, no. 3, pp. 737–743, 1996.
[135] H. C. M. an den Bosch e al., “F ee-b ea hing MRI o he assessmen
o myoca dial in a c ion: Clinical alida ion,” Ame . J. Roen genol.,
ol. 192, no. 6, pp. W 277–W281, 2009.
[136] K. Ma sunaga, G. Ogasawa a, M. Tsukano, Y. Iwada e, and
Y. Inoue, “Use ulness o he na iga o -echo igge ing echnique o
ee-b ea hing h ee-dimensional magne ic esonance cholangiopanc e-
a og aphy,” Magn. Reson. Imag., ol. 31, no. 3, pp. 396–400, 2013.
[137] C. Klessen e al., “Magne ic esonance imaging o he uppe abdomen us-
inga ee-b ea hingT2-weigh ed u bospinechosequence wi hna iga o
igge ed p ospec i e acquisi ion co ec ion,” J. Magn. Reson. Imag.,
ol. 21, no. 5, pp. 576–582, 2005.
[138] C. J. Zech e al., “High- esolu ion MR-imaging o he li e wi h T2-
weigh ed sequences using in eg a ed pa allel imaging: Compa ison o
p ospec i e mo ion co ec ion and espi a o y igge ing,” J. Magn. Re-
son. Imag., ol. 20, no. 3, pp. 443–450, 2004.
[139] D. C. Pe e s, R. Neza a , H. Egge s, C. S ehning, and W. J. Manning, “2D
ee-b ea hing dual na iga o -ga ed ca diac unc ion alida ed agains
he 2D b ea h-hold acquisi ion,” J. Magn. Reson. Imag., ol. 28, no. 3,
pp. 773–777, 2008.
[140] B. Taouli e al., “Di usion-weigh ed imaging o he li e : Compa ison o
na iga o igge ed and b ea hhold acquisi ions,” J. Magn. Reson. Imag.,
ol. 30, no. 3, pp. 561–568, 2009.
[141] A. C. La son e al., “P elimina y in es iga ion o espi a o y sel -ga ing
o ee-b ea hing segmen ed cine MRI,” Magn. Reson. Med., ol. 53,
no. 1, pp. 159–168, 2005.
[142] N. Jin, R. J. Lewandowski, R. A. Oma y, and A. C. La son, “Respi a-
o y sel -ga ing o ee-b ea hing abdominal phase-con as blood low
measu emen s,” J. Magn. Reson. Imag., ol.29,no.4,pp. 860–868,2009.
[143] J. Liu, P. Spincemaille, N. C. F. Codella, T. D. Nguyen, M. R. P ince,
and Y. Wang, “Respi a o y and ca diac sel -ga ed ee-b ea hing ca diac
CINEimagingwi hmul iecho3Dhyb id adial SSFP acquisi ion,”Magn.
Reson. Med., ol. 63, no. 5, pp. 1230–1237, 2010.
[144] S. U ibe e al., “Whole-hea cine MRI using eal- ime espi a o y sel -
ga ing,” Magn. Reson. Med., ol. 57, no. 3, pp. 606–613, 2007.
[145] S. U ibe, P. Bee baum, T. S. Sø ensen, A. Rasmusson, R. Raza i, and
T. Schae e , “Fou -dimensional (4D) low o he whole hea and g ea
essels using eal- ime espi a o y sel -ga ing,” Magn. Reson. Med.,
ol. 62, no. 4, pp. 984–992, 2009.
[146] R. Wang e al., “Wea able espi a ion moni o ing using an in-line ew-
mode ibe Mach-Zehnde in e e ome ic senso ,” Biomed. Op . Exp.,
ol. 11, no. 1, pp. 316–329, 2020.
[147] F. Michle e al., “A clinically e alua ed in e e ome ic con inuous-wa e
ada sys em o hecon ac lessmeasu emen o human i alpa ame e s,”
Senso s, ol. 19, no. 11, pp. 1–19, 2019.
[148] H. Di, S. Sun, and Y. Che, “Respi a ion measu emen using ib e-op ic
de o ma ion senso ,” J. Mode n Op ., ol. 64, no. 6, pp. 639–645, 2016.
[149] S. Chen, F. Tan, Z. Huang, T. Yang, J. Tu, and C. Yu, “Non-in asi e sma
moni o ing sys em based on mul i-co e ibe op ic in e e ome e s,” in
P oc. Asia Commun. Pho on. Con ., 2018, pp. 1–3.
[150] Y. Zhang, Z. Chen, and H. I. Hee, “Nonin asi e measu emen o hea
a e and espi a o y a e o pe iope a i e in an s,” J. Ligh w. Technol.,
ol. 37, no. 11, pp. 2807–2814, Jun. 2019.
[151] Z. Chen e al., “Moni o ing espi a ion and ca diac ac i i y du ing sleep
using mic obend ibe senso : A clinical s udy and new algo i hm,” in
P oc. 36 h Annu. In . Con . IEEE Eng. Med. Biol. Soc., 2014, pp. 5377–
5380.
[152] T. Liue al.,“Medical espi a o ymoni o ingsenso sbased on mic obend
ibe loss,” P oc. SPIE, ol. 10025, 2017, A . no. 1002517.
[153] X. Guo, Z. Li, and D. Yan, “A bio-signal moni o ing senso based on he
mic obending e ec o ibe ,” IOP Con . Se .: Ma e . Sci. Eng., ol. 612,
no. 2, pp. 1–8, 2019.
[154] H.-F. Hu, S.-J. Sun, R.-Q. L , and Y. Zhao, “Design and expe imen o
an op ical ibe mic o bend senso o espi a ion moni o ing,” Senso s
Ac ua o s A: Phys., ol. 251, no. 1, pp. 126–133, 2016.
[155] L. T. D’Angelo, S. Webe , Y. Honda, T. Thiel, F. Na bonneau, and T.
C. Lu h, “A sys em o espi a o y mo ion de ec ion using op ical ibe s
embedded in o ex iles,” in P oc. 30 h Annu. In . Con . IEEE Eng. Med.
Biol. Soc., 2008, pp. 3694–3697.
[156] A. G ille e al., “Op ical ib e senso s embedded in o medical ex iles o
moni o ing o espi a o y mo emen s in MRI en i onmen ,” P oc. SPIE,
ol. 6619, 2007, A . no. 66191R.
[157] J. Wi e al., “Sma medical ex iles wi h embedded op ical ib e senso s
o con inuous moni o ing o espi a o y mo emen s du ing MRI,” P oc.
SPIE, ol. 7653, 2010, A . no. 76533B.
[158] J. Wi e al., “Medical ex iles wi h embedded ibe op ic senso s o
moni o ing o espi a o y mo emen ,” IEEE Senso s J., ol. 12, no. 1,
pp. 246–254, Jan. 2012.
[159] D. Lo P es i e al., “A mul i-pa ame ic wea able sys em o moni o neck
mo emen s and espi a o y equency o compu e wo ke s,” Senso s,
ol. 20, no. 2, pp. 1–17, 2020.
[160] W. Ecke e al., “A no el pe iodic mac obending he e o-co e ibe op ic
senso embedded in ex ile o espi a o y mo emen s’ analysis,” P oc.
SPIE, ol. 9062, 2014, A . no. 90620D.
[161] A. Issa aye a, A. Beiseno a, D. Tosi, and C. Mola di, “Fibe -op ic based
sma ex iles o eal- ime moni o ingo b ea hing a e,” Senso s, ol.20,
no. 12, pp. 1–16, 2020.
[162] D. Lau e al., “In ensi y-modula ed mic obend ibe op ic senso o
espi a o y moni o ing and ga ing du ing MRI,” IEEE T ans. Biomed.
Eng., ol. 60, no. 9, pp. 2655–2662, Sep. 2013.
[163] W.-J. Yoo e al., “De elopmen o espi a ion senso s using plas ic op ical
ibe o espi a o y moni o ing inside MRI sys em,” J. Op . Soc. Ko ea,
ol. 14, no. 3, pp. 235–239, Sep. 2010.
[164] M. K ej, P. Ba an, and Ł. Dziuda, “De ec ion o espi a o y a e using a
classi ie o wa es in he signal om a FBG-based i al signs senso ,”
Compu . Me hods P og. Biomed., ol. 177, pp. 31–38, 2019.
[165] L. Mendes Pe ei a e al., “UTE-SENCEFUL: Fi s esul s o 3D high-
esolu ion lung en ila ion imaging,” Magn. Reson. Med., ol. 81, no. 4,
pp. 2464–2473, No . 2018.
[166] N. S. Higano e al., “Re ospec i e espi a o y sel -ga ing and emo al
o bulk mo ion in pulmona y UTE MRI o neona es and adul s,” Magn.
Reson. Med., ol. 77, no. 3, pp. 1284–1295, 2017.
[167] J. Delacos e, J. Chap inel, C. Beigelman-Aub y, D. Piccini, A. Sau y,
and M. S ube , “A double echo ul a sho echo ime (UTE) acquisi ion
o espi a o y mo ion-supp essed high esolu ion imaging o he lung,”
Magn. Reson. Med., ol. 79, no. 4, pp. 2297–2305, 2018.
[168] J. F. Heiden eich e al., “Func ional MRI o he lungs using single
b ea h-hold and sel -na iga ed ul asho echo ime sequences,” Radiol.:
Ca dio ho acic Imag., ol. 2, no. 3, pp. 1–7, Jun. 2020.
[169] M. Tibile i e al., “Mul is age h ee-dimensional UTE lung imag-
ing by image-based sel -ga ing,” Magn. Reson. Med., ol. 75, no. 3,
pp. 1324–1332, 2016.