Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004

1. Front Matter

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2. Brain Segmentation

   1. Level Set Methods in an EM Framework for Shape Classification and Estimation

      • Andy Tsai, William Wells, Simon K. Warfield, Alan Willsky

      Pages 1-9

   2. Automatic Segmentation of Neonatal Brain MRI

      • Marcel Prastawa, John Gilmore, Weili Lin, Guido Gerig

      Pages 10-17

   3. Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI

      • Christophe Lenglet, Mikaël Rousson, Rachid Deriche

      Pages 18-25

   4. Improved EM-Based Tissue Segmentation and Partial Volume Effect Quantification in Multi-sequence Brain MRI

      • Guillaume Dugas-Phocion, Miguel Angel González Ballester, Grégoire Malandain, Christine Lebrun, Nicholas Ayache

      Pages 26-33

3. Cardiovascular Segmentation

   1. Cardiac Motion and Elasticity Characterization with Iterative Sequential \(\mathcal{H}_\infty\) Criteria

      • Huafeng Liu, Pengcheng Shi

      Pages 34-42

   2. A Semi-automatic Endocardial Border Detection Method for 4D Ultrasound Data

      • Marijn van Stralen, Johan G. Bosch, Marco M. Voormolen, Gerard van Burken, Boudewijn J. Krenning, Charles T. Lancée et al.

      Pages 43-50

   3. Vessel Segmentation Using a Shape Driven Flow

      • Delphine Nain, Anthony Yezzi, Greg Turk

      Pages 51-59

   4. Learning Coupled Prior Shape and Appearance Models for Segmentation

      • Xiaolei Huang, Zhiguo Li, Dimitris Metaxas

      Pages 60-69

4. Segmentation I

   1. A Modified Total Variation Denoising Method in the Context of 3D Ultrasound Images

      • Arnaud Ogier, Pierre Hellier

      Pages 70-77

   2. Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model

      • Ravi Bansal, Lawrence H. Staib, Bradley S. Peterson

      Pages 78-86

   3. Texture Image Analysis for Osteoporosis Detection with Morphological Tools

      • Sylvie Sevestre-Ghalila, Amel Benazza-Benyahia, Anne Ricordeau, Nedra Mellouli, Christine Chappard, Claude Laurent Benhamou

      Pages 87-94

   4. Multi-class Posterior Atlas Formation via Unbiased Kullback-Leibler Template Estimation

      • Peter Lorenzen, Brad Davis, Guido Gerig, Elizabeth Bullitt, Sarang Joshi

      Pages 95-102

   5. Dual Front Evolution Model and Its Application in Medical Imaging

      • Hua Li, Abderr Elmoataz, Jalal Fadili, Su Ruan

      Pages 103-110

   6. Topology Smoothing for Segmentation and Surface Reconstruction

      • Pierre-Louis Bazin, Dzung L. Pham

      Pages 111-118

   7. Simultaneous Boundary and Partial Volume Estimation in Medical Images

      • Dzung L. Pham, Pierre-Louis Bazin

      Pages 119-126

   8. Local Watershed Operators for Image Segmentation

      • Hüseyin Tek, Hüseyin Can Aras

      Pages 127-134

   9. Medical Image Segmentation Based on Mutual Information Maximization

      • Jaume Rigau, Miquel Feixas, Mateu Sbert, Anton Bardera, Imma Boada

      Pages 135-142

   10. Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques

       • Aly Farag, Hossam Hassan

       Pages 143-150

   11. Coupling Statistical Segmentation and PCA Shape Modeling

       • Kilian M. Pohl, Simon K. Warfield, Ron Kikinis, W. Eric L. Grimson, William M. Wells

       Pages 151-159

The 7th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2004, was held in Saint-Malo, Brittany, France at the “Palais du Grand Large” conference center, September 26–29, 2004. The p- posaltohostMICCAI2004wasstronglyencouragedandsupportedbyIRISA, Rennes. IRISA is a publicly funded national research laboratory with a sta? of 370,including150full-timeresearchscientistsorteachingresearchscientistsand 115 postgraduate students. INRIA, the CNRS, and the University of Rennes 1 are all partners in this mixed research unit, and all three organizations were helpful in supporting MICCAI. MICCAI has become a premier international conference with in-depth - pers on the multidisciplinary ?elds of medical image computing, comput- assisted intervention and medical robotics. The conference brings together cl- icians, biological scientists, computer scientists, engineers, physicists and other researchers and o?ers them a forum to exchange ideas in these exciting and rapidly growing ?elds. The impact of MICCAI increases each year and the quality and quantity of submitted papers this year was very impressive. We received a record 516 full submissions (8 pages in length) and 101 short communications (2 pages) from 36 di?erent countries and 5 continents (see ?gures below). All submissions were reviewed by up to 4 external reviewers from the Scienti?c Review C- mittee and a primary reviewer from the Program Committee. All reviews were then considered by the MICCAI 2004 Program Committee, resulting in the acceptance of 235 full papers and 33 short communications.

• Tumor
• biomedical data analysis
• biomedical modeling
• brain imaging
• cardiac image analysis
• classification
• computed tomography (CT)
• computer-assisted intervention
• image analysis
• medical image analysis
• medical imaging
• medical robotics
• surgical planning
• ultrasound
• visualization

• Visages U746, INSERM-INRIA-CNRS-Univ-Rennes1, IRISA, Rennes, France

  Christian Barillot

• Department of Radiology, University of Washington, Seattle, USA

  David R. Haynor

• Project VisAGeS, IRISA - INRIA - INSERM, IRISA campus Beaulieu, Rennes Cedex, France

  Pierre Hellier

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