Computational Vision and Medical Image Processing: Recent Trends (Computational Methods in Applied Sciences) 2011th Edition

Computational Vision and Medical Image Processing: Recent Trends 2011th EditionThis book contains extended versions of papers presented at the international Conference VIPIMAGE 2009 – ECCOMAS Thematic Conference on Computational Vision and Medical Image, that was held at Faculdade de Engenharia da Universidade do Porto, Portugal, from 14th to 16th of October 2009.

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This conference was the second ECCOMAS thematic conference on computational vision and medical image processing. It covered topics related to image processing and analysis, medical imaging and computational modelling and simulation, considering their multidisciplinary nature. The book collects the state-of-the-art research, methods and new trends on the subject of computational vision and medical image processing contributing to the development of these knowledge areas.

Computational Vision and Medical Image Processing: Recent Trends 2011th Edition
by Joao Tavares (Editor), R. M. Natal Jorge (Editor)
ISBN-13: 978-9400700109
ISBN-10: 9789400700109

Computational Vision and Medical Image Processing: Recent Trends 2011th Edition – Content

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

Automatic Segmentation of the Optic Radiation Using DTI in Healthy Subjects and Patients with Glaucoma
Ahmed El-Rafei, Tobias Engelhorn, Simone Waerntges, Arnd Doerfler, Joachim Hornegger, and Georg Michelson

Abstract The complexity of the diffusion tensor imaging (DTI) data and the interpersonal variability of the brain fiber structure make the identification of the fibers a difficult and time consuming task. In this work, an automated segmentation system of the optic radiation using DTI is proposed. The system is applicable to normal subjects and glaucoma patients. It is intended to aid future glaucoma studies.

The automation of the system is based on utilizing physiological and anatomical information to produce robust initial estimates of the optic radiation. The estimated optic radiation initializes a statistical level set framework. The optic radiation is segmented by the surface evolution of the level set function.

The system is tested using eighteen DTI-datasets of glaucoma patients and normal subjects. The segmentation results were compared to the manual segmentation performed by a physician experienced in neuroimaging and found to be in agreement with the known anatomy with 83% accuracy. The automation eliminates the necessity of medical experts’ intervention and facilitates studies with large number of subjects. Keywords Diffusion tensor imaging (DTI) Segmentation Optic radiation Glaucoma …………..

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