Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006

1. Front Matter

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2. Bone Shape Analysis

   1. Quantitative Vertebral Morphometry Using Neighbor-Conditional Shape Models

      • Marleen de Bruijne, Michael T. Lund, László B. Tankó, Paola P. Pettersen, Mads Nielsen

      Pages 1-8

   2. Anatomically Constrained Deformation for Design of Cranial Implant: Methodology and Validation

      • Ting Wu, Martin Engelhardt, Lorenz Fieten, Aleksandra Popovic, Klaus Radermacher

      Pages 9-16

   3. Open-Curve Shape Correspondence Without Endpoint Correspondence

      • Theodor Richardson, Song Wang

      Pages 17-24

   4. Reconstruction of Patient-Specific 3D Bone Surface from 2D Calibrated Fluoroscopic Images and Point Distribution Model

      • Guoyan Zheng, Miguel Á. G. Ballester, Martin Styner, Lutz-Peter Nolte

      Pages 25-32

3. Robotics and Tracking

   1. A Pilot Study of Robot-Assisted Cochlear Implant Surgery Using Steerable Electrode Arrays

      • Jian Zhang, Kai Xu, Nabil Simaan, Spiros Manolidis

      Pages 33-40

   2. Robot-Assisted Prostate Brachytherapy

      • Yan Yu, Tarun Podder, Yongde Zhang, Wan-Sing Ng, Vladimir Misic, Jason Sherman et al.

      Pages 41-49

   3. Design and Validation of an Image-Guided Robot for Small Animal Research

      • Peter Kazanzides, Jenghwa Chang, Iulian Iordachita, Jack Li, C. Clifton Ling, Gabor Fichtinger

      Pages 50-57

   4. GPU Based Real-Time Instrument Tracking with Three Dimensional Ultrasound

      • Paul M. Novotny, Jeffrey A. Stoll, Nikolay V. Vasilyev, Pedro J. del Nido, Pierre E. Dupont, Robert D. Howe

      Pages 58-65

4. Segmentation

   1. Shape-Driven 3D Segmentation Using Spherical Wavelets

      • Delphine Nain, Steven Haker, Aaron Bobick, Allen Tannenbaum

      Pages 66-74

   2. Artificially Enlarged Training Set in Image Segmentation

      • Tuomas Tölli, Juha Koikkalainen, Kirsi Lauerma, Jyrki Lötjönen

      Pages 75-82

   3. Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics

      • Yonghong Shi, Feihu Qi, Zhong Xue, Kyoko Ito, Hidenori Matsuo, Dinggang Shen

      Pages 83-91

   4. 4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences

      • Timo Kohlberger, Daniel Cremers, Mikaël Rousson, Ramamani Ramaraj, Gareth Funka-Lea

      Pages 92-100

   5. Cell Segmentation Using Coupled Level Sets and Graph-Vertex Coloring

      • Sumit K. Nath, Kannappan Palaniappan, Filiz Bunyak

      Pages 101-108

5. Analysis of Diffusion Tensor MRI

   1. 3D Histological Reconstruction of Fiber Tracts and Direct Comparison with Diffusion Tensor MRI Tractography

      • Julien Dauguet, Sharon Peled, Vladimir Berezovskii, Thierry Delzescaux, Simon K. Warfield, Richard Born et al.

      Pages 109-116

   2. Rician Noise Removal in Diffusion Tensor MRI

      • Saurav Basu, Thomas Fletcher, Ross Whitaker

      Pages 117-125

   3. Anisotropy Creases Delineate White Matter Structure in Diffusion Tensor MRI

      • Gordon Kindlmann, Xavier Tricoche, Carl-Fredrik Westin

      Pages 126-133

6. Shape Analysis and Morphometry

   1. Evaluation of 3-D Shape Reconstruction of Retinal Fundus

      • Tae Eun Choe, Isaac Cohen, Gerard Medioni, Alexander C. Walsh, SriniVas R. Sadda

      Pages 134-141

   2. Comparing the Similarity of Statistical Shape Models Using the Bhattacharya Metric

      • K. O. Babalola, T. F. Cootes, B. Patenaude, A. Rao, M. Jenkinson

      Pages 142-150

   3. Improving Segmentation of the Left Ventricle Using a Two-Component Statistical Model

      • Sebastian Zambal, Jiří Hladůvka, Katja Bühler

      Pages 151-158

The 9th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2006, was held in Copenhagen, Denmark at the Tivoli Concert Hall with satellite workshops and tutorials at the IT University of Copenhagen, October 1-6, 2006. The conference has become the premier international conference with - depth full length papers in the multidisciplinary ?elds of medical image c- puting, computer-assisted intervention, and medical robotics. The conference brings together clinicians, computer scientists, engineers, physicists, and other researchers and o?ers a forum for the exchange of ideas in a multidisciplinary setting. MICCAI papers are of high standard and have a long lifetime. In this v- ume as well as in the latest journal issues of Medical Image Analysis and IEEE Transactions on Medical Imaging papers cite previous MICCAIs including the ?rst MICCAI conference in Cambridge, Massachusetts, 1998. It is obvious that the community requires the MICCAI papers as archive material. Therefore the proceedingsofMICCAIarefrom2005andhenceforthbeing indexedbyMedline. Acarefulreviewandselectionprocesswasexecutedinordertosecurethebest possible program for the MICCAI 2006 conference. We received 578 scienti?c papers from which 39 papers were selected for the oral program and 193 papers for the poster program.

• Navigation
• Stereo
• Textur
• Tumor
• biomedical data analysis
• biomedical modeling
• cardiac image analysis
• computer-assisted intervention
• feature extraction
• image analysis
• image classification
• image segmentation
• medical image analysis
• optimization
• visualization

• Department of Informatics and Mathematical Modelling, Technical University of Denmark, Denmark

  Rasmus Larsen

• Nordic Bioscience, Herlev, Denmark

  Mads Nielsen

• Department of Computer Science, University of Copenhagen, Denmark

  Jon Sporring

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