Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008

1. Front Matter

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2. Medical Image Computing

   1. On Computing the Underlying Fiber Directions from the Diffusion Orientation Distribution Function

      • Luke Bloy, Ragini Verma

      Pages 1-8

   2. Extracting Tractosemas from a Displacement Probability Field for Tractography in DW-MRI

      • Angelos Barmpoutis, Baba C. Vemuri, Dena Howland, John R. Forder

      Pages 9-16

   3. New Algorithms to Map Asymmetries of 3D Surfaces

      • Benoît Combès, Sylvain Prima

      Pages 17-25

   4. A Distributed Spatio-temporal EEG/MEG Inverse Solver

      • Wanmei Ou, Polina Golland, Matti Hämäläinen

      Pages 26-34

   5. Tracking the Swimming Motions of C. elegans Worms with Applications in Aging Studies

      • Christophe Restif, Dimitris Metaxas

      Pages 35-42

3. Segmentation I

   1. MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model

      • Giorgos Sfikas, Christophoros Nikou, Nikolaos Galatsanos, Christian Heinrich

      Pages 43-50

   2. Semi-supervised Nasopharyngeal Carcinoma Lesion Extraction from Magnetic Resonance Images Using Online Spectral Clustering with a Learned Metric

      • Wei Huang, Kap Luk Chan, Yan Gao, Jiayin Zhou, Vincent Chong

      Pages 51-58

   3. Multi-level Classification of Emphysema in HRCT Lung Images Using Delegated Classifiers

      • Mithun Prasad, Arcot Sowmya

      Pages 59-66

   4. A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI

      • Michael Wels, Gustavo Carneiro, Alexander Aplas, Martin Huber, Joachim Hornegger, Dorin Comaniciu

      Pages 67-75

   5. Prostate Cancer Probability Maps Based on Ultrasound RF Time Series and SVM Classifiers

      • Mehdi Moradi, Parvin Mousavi, Robert Siemens, Eric Sauerbrei, Alexander Boag, Purang Abolmaesumi

      Pages 76-84

   6. A Bayesian Approach for Liver Analysis: Algorithm and Validation Study

      • Moti Freiman, Ofer Eliassaf, Yoav Taieb, Leo Joskowicz, Jacob Sosna

      Pages 85-92

   7. Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach

      • Moti Freiman, Yifat Edrei, Yehonatan Sela, Yitzchak Shmidmayer, Eitan Gross, Leo Joskowicz et al.

      Pages 93-100

   8. Evaluation of a Cardiac Ultrasound Segmentation Algorithm Using a Phantom

      • Yong Yue, Hemant D. Tagare, Ernest L. Madsen, Gary R. Frank, Maritza A. Hobson

      Pages 101-109

   9. Automatic Recovery of the Left Ventricular Blood Pool in Cardiac Cine MR Images

      • Marie-Pierre Jolly

      Pages 110-118

   10. MRI Bone Segmentation Using Deformable Models and Shape Priors

       • Jérôme Schmid, Nadia Magnenat-Thalmann

       Pages 119-126

   11. Segmentation of Vessels Cluttered with Cells Using a Physics Based Model

       • Stephen J. Schmugge, Steve Keller, Nhat Nguyen, Richard Souvenir, Toan Huynh, Mark Clemens et al.

       Pages 127-134

   12. Streamline Flows for White Matter Fibre Pathway Segmentation in Diffusion MRI

       • Peter Savadjiev, Jennifer S. W. Campbell, G. Bruce Pike, Kaleem Siddiqi

       Pages 135-143

   13. Toward Unsupervised Classification of Calcified Arterial Lesions

       • Gerd Brunner, Uday Kurkure, Deepak R. Chittajallu, Raja P. Yalamanchili, Ioannis A. Kakadiaris

       Pages 144-152

   14. Weights and Topology: A Study of the Effects of Graph Construction on 3D Image Segmentation

       • Leo Grady, Marie-Pierre Jolly

       Pages 153-161

The 11th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2008, was held at the Helen and Martin Kimmel Center of New York University, New York City, USA on September 6–10, 2008. MICCAI is the premier international conference in this domain, with - depth papers on the multidisciplinary ?elds of biomedical image computing and analysis, computer assisted intervention and medical robotics. The conference brings together biological scientists, clinicians, computer scientists, engineers, mathematicians, physicists and other interested researchers and o?ers them a forum to exchange ideas in these exciting and rapidly growing ?elds. The conference is both very selective and very attractive: this year we - ceived a record number of 700 submissions from 34 countries and 6 continents, fromwhich258papers were selectedfor publication,whichcorrespondsto a s- cess rate of approximately 36%. Some interesting facts about the distribution of submitted and acceptedpapers are shown graphically at the end of this preface. The paper selection process this year was based on the following procedure, which included the introduction of several novelties over previous years. 1. A ProgramCommittee (PC) of 49 members was recruited by the Program Chairs,to getthenecessarybody ofexpertiseandgeographicalcoverage.All PC members agreed in advance to participate in the ?nal paper selection process. 2. Key words grouped in 7 categories were used to describe the content of the submissions and the expertise of the reviewers.

• Tumor
• algorithms
• bioinformatics
• biomedical data analysis
• biomedical modeling
• brain atlas computing
• cardiac image analysis
• classification
• computed tomography (CT)
• computer-assisted intervention
• diagnosis
• image analysis
• medical image registrati
• optical coherence tomography
• ultrasound

Policies and ethics