Computational Vision and Medical Image Processing
Computational Methods in Applied Sciences Volume 19 Series Editor E. O˜nate International Center for Numerical Methods in Engineering (CIMNE) Technical University of Catalunya (UPC) Edificio C-1, Campus Norte UPC Gran Capit´an, s/n 08034 Barcelona, Spain
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Jo˜ ao Manuel R. S. Tavares R. M. Natal Jorge Editors Computational Vision and Medical Image Processing Recent Trends ABC
Editors Jo˜ao Manuel R. S. Tavares Universidade do Porto Fac. Engenharia Departamento de Engenharia Mecˆanica Rua Dr. Roberto Frias 4200-465 Porto Portugal
[email protected] R. M. Natal Jorge Universidade do Porto Fac. Engenharia Departamento de Engenharia Mecˆanica Rua Dr. Roberto Frias 4200-465 Porto Portugal [email protected].pt ISSN 1871-3033 ISBN 978-94-007-0010-9 e-ISBN 978-94-007-0011-6 DOI 10.1007/978-94-007-0011-6 Springer Dordrecht Heidelberg New York London c Springer Science+Business Media B.V. 2011 No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface Nowadays, computational methodologies of signal processing and imaging analysis for 2D, 3D and even 4D data are commonly used for various applications in society. For example, Computational Vision systems are progressively used for surveillance tasks, traffic analysis, recognition process, inspection purposes, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its intermultidisciplinary nature. In fact, in this domain, methodologies of several other fundamental sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are regularly used. Besides this inter-multidisciplinary characteristic, one of the main rationale that promotes the continuous effort being made in this area of human knowledge is the number of applications in the medical area. For instance, statistical or physical procedures on medical images can be used in order to model the represented structures. This modelling can have different goals, for example: shape reconstruction, segmentation, registration, behavioural interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related fields and try to identify areas of potential collaboration between researchers of different sciences. This book contains the extended versions of nineteen papers selected from works presented at the second ECCOMAS thematic conference on Computational Vision and Medical Image processing (VIPimage 2009), which was held at the Engineering Faculty of the University of Porto, Portugal. It gathers together the state-of-the-art on the subject of Computational Vision and Medical Image processing contributing to the developmentof these knowledge areas and showing new trends in these fields. The Editors would like to take this opportunity to thank to the European Community on Computational Methods in Applied Sciences, the Portuguese Association of Theoretical, Applied and Computational Mechanics, the University of Porto, all sponsors, all members of the International Scientific Committee and to all Invited Lecturers and Authors. Faculty of Engineering Jo˜ao Manuel R.S. Tavares University of Porto, Portugal R.M. Natal Jorge v
Contents Automatic Segmentation of the Optic Radiation Using DTI in Healthy Subjects and Patients with Glaucoma .............................. 1 Ahmed El-Rafei, Tobias Engelhorn, Simone Waerntges, Arnd Doerfler, Joachim Hornegger, and Georg Michelson Real Time Colour Based Player Tracking in Indoor Sports................... 17 Catarina B. Santiago, Armando Sousa, Lu´ıs Paulo Reis, and Maria Lu´ısa Estriga Visualization of the Dynamics of the Female Pelvic Floor Reflex and Steady State Function ................................................ 37 Christos E. Constantinou, Qiyu Peng, and Sadao Omata Population Exposure and Impact Assessment: Benefits of Modeling Urban Land Use in Very High Spatial and Thematic Detail ............................................................... 75 Christoph Aubrecht, Mario K¨ostl, and Klaus Steinnocher Dynamic Radiography Imaging as a Tool in the Design and Validation of a Novel Intelligent Amputee Socket ......................... 91 George Papaioannou, Dimitris Tsiokos, Goeran Fiedler, Christos Mitrogiannis,Ilya Avdeev, Jake Wood, and Ray McKinney A Discrete Level Set Approach for Texture Analysis of Microscopic Liver Images......................................................113 Daniela Iacoviello Deformable and Functional Models..............................................125 Demetri Terzopoulos vii
viii Contents Medical-GiD: From Medical Images to Simulations, 4D MRI Flow Analysis .......................................................................145 Eduardo Soudah, Julien Pennecot, Jorge S. P´erez, Maurizio Bordone, and Eugenio O˜nate KM and KHM Clustering Techniques for Colour Image Quantisation ........................................................................161 Mariusz Frackiewicz and Henryk Palus Caries Detection in Panoramic Dental X-ray Images ..........................175 Jo˜ao Oliveira and Hugo Proenc¸a Noisy Medical Image Edge Detection Algorithm Based on a Morphological Gradient Using Uninorms .........................191 Manuel Gonz´alez-Hidalgo, Arnau Mir Torres, Daniel Ruiz Aguilera, and Joan Torrens Sastre Leveraging Graphics Hardware for an Automatic Classification of Bone Tissue......................................................209 Manuel Jes´us Mart´ın-Requena and Manuel Ujald´on A Novel Template-Based Approach to the Segmentation of the Hippocampal Region .......................................................229 M. Aiello, P. Calvini, A. Chincarini, M. Esposito, G. Gemme, F. Isgr `o, R. Prevete, M. Santoro, and S. Squarcia Model-Based Segmentation and Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning........................................................247 M. Bach Cuadra, S. Gorthi, F.I. Karahanoglu, B. Paquier, A. Pica, H.P. Do, A. Balmer, F. Munier, and J.-Ph. Thiran Flow of a Blood Analogue Solution Through Microfabricated Hyperbolic Contractions ..........................................................265 P.C. Sousa, I.S. Pinho, F.T. Pinho, M.S.N. Oliveira, and M.A. Alves Molecular Imaging of Hypoxia Using Genetic Biosensors.....................281 Pablo Iglesias and J.A. Costoya Microscale Flow Dynamics of Red Blood Cells in Microchannels: An Experimental and Numerical Analysis ......................................297 R. Lima, C.S. Fernandes, R. Dias, T. Ishikawa, Y. Imai, and T. Yamaguchi
Contents ix Two Approaches for Automatic Nuclei Cell Counting in Low Resolution Fluorescence Images..................................................311 Thierry Brouard and Aur´elie Chantˆome Cerebral Aneurysms: A Patient-Specific and Image-Based Management Pipeline..............................................................327 M.C. Villa-Uriol, I. Larrabide, J.M. Pozo, M. Kim, M. De Craene, O. Camara, C. Zhang, A.J. Geers, H. Bogunovi´c, H. Morales, and A.F. Frangi
