MIAD 2009 ~ The First International Workshop on Medical Image Analysis and Description for Diagnosis Systems, 16th - 17th January, 2009 - Porto, Portugal
by: INSTICC Press

109 Pages
Medical Image Analysis
and Description for Diagnosis
Systems
Proceedings of the
1st International Workshop on
Medical Image Analysis and Description for Diagnosis Systems
MIAD 2009
In conjunction with BIOSTEC 2009
Porto, Portugal, January 2009
Foreword
On behalf of the program committee of the international workshop on
medical image analysis and description for diagnosis systems (MIAD’09), I
have an enormous pleasure to welcome you in Porto (Portugal) for this
manifestation. I would like to thank all those who made many valuable
contributions for success of this first workshop.
MIAD’09 aims at assembling international researchers and
practitioners working in medical and biomedical images processing
domain, for attending extensive educational high level materials,
exchanging their knowledge and talking about their future choices. I also
hope that the workshop offer a real opportunity to fill the gap between
academic researchers, practitioners and industrial parts.
The call for papers of MIAD’09 enticed a number of about 25 paper
submissions, from all over the world, the important job of the program
committee members for reviewing and selecting the technical
contributions leading to 10 papers that will be presented in 3 regular
sessions about following topics: images modelling, registration and
computer aided evaluation, medical images denoising and segmentation,
and biological images analysis.
I hope these effort and these contributions will enable fruitful
discussions and large dissemination of scientific knowledge.
January 2009,
Khalifa Djemal
University of Evry Val d’Essonne
France
Table of Contents
Table of Contents
Foreword ………………………………………………………………………………………. iii
Workshop Chair ……………………………………………………………………………. iv
Program Committee ……………………………………………………………………… iv
Image Modelling, Registration and Computer Aided
Evaluation
A Cost Efficient Approach for Automatic Non-Rigid Registration
of Medical Images ………………………………………………………………….. 3
Sami Dhahbi, Walid Barhoumi and Ezzeddine Zagrouba
Semi-Automatic Modeling of Bones for Real-Time Surgery
Support ………………………………………………………………………………….. 13
Roger Cuypers, Benjamin Weyers and Wolfram Luther
Computer Aided Evaluation of Upper Urinary Tract
Obstruction ……………………………………………………………………………. 24
V. Neeman, M. Hershko, N. Reisner, I. Leichter, G. Hidas,
D. Pode and M. Duvdevani
Medical Images Denoising and Segmentation
Automated Segmentation and Clinical Information
on Dementia Diagnosis ………………………………………………………….. 33
A. Conci, A. Plastino, A. S. Souza, C. S. Kubrusly, D. M. Saade
and F. L. Seixas
vi
3D Segmentation for the Study of Cell Cycle Progression
in Live Drosophila Embryos ………………………………………………….. 43
Chinta Rambabu, Puah Wee Choo, Janos Kriston-Vizi
and Martin Wasser
Performance Assessment of Patch-based Bilateral Denoising ……….. 52
Arnaud de Decker, John Aldo Lee and Michel Verleysen
Semi-automatic Detection of Corticalis Borders in
Two-dimensional Radiographies to Improve Pre-operative
Planning …………………………………………………………………………………. 62
Marc Schlimbach and Jürgen Wahrburg
Biological Images Analysis
Biological Qualification of Oocyte Maturity with the Use
of the Karhunen-Loeve Transform: Computer-aided
Decision for Selecting Best Oocytes Before Fertilization ……….. 77
Christian Pieralli, Bruno Wacogne, Charline André,
Christophe Roux, Christiane Joanne and Lionel Pazart
Mammographic Density Classification based on Local
Histograms …………………………………………………………………………….. 85
Rafael Llobet, Juan A. Solves, Juan C. Perez-Cortes
and Francisco Ruiz-Perales
Empirical Descriptors Evaluation for Mass Malignity
Recognition ……………………………………………………………………………. 91
Imene Cheikhrouhou, Khalifa Djemal, Dorra Sellami Masmoudi,
Hichem Maaref and Nabil Derbel
Author Index ………………………………………………………………………………… 101
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