Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009

1. Image Registration

   1. A Log-Euclidean Polyaffine Registration for Articulated Structures in Medical Images

      • Miguel Ángel Martín-Fernández, Marcos Martín-Fernández, Carlos Alberola-López

      Pages 156-164

   2. Nonrigid Registration of Myocardial Perfusion MRI Using Pseudo Ground Truth

      • Chao Li, Ying Sun

      Pages 165-172

   3. Parallax-Free Long Bone X-ray Image Stitching

      • Lejing Wang, Joerg Traub, Simon Weidert, Sandro Michael Heining, Ekkehard Euler, Nassir Navab

      Pages 173-180

   4. Diffusion Tensor Field Registration in the Presence of Uncertainty

      • Mustafa Okan Irfanoglu, Cheng Guan Koay, Sinisa Pajevic, Raghu Machiraju, Peter J. Basser

      Pages 181-189

   5. Non-rigid Registration of High Angular Resolution Diffusion Images Represented by Gaussian Mixture Fields

      • Guang Cheng, Baba C. Vemuri, Paul R. Carney, Thomas H. Mareci

      Pages 190-197

2. Modelling and Segmentation

   1. Toward Real-Time Simulation of Blood-Coil Interaction during Aneurysm Embolization

      • Yiyi Wei, Stéphane Cotin, Le Fang, Jérémie Allard, Chunhong Pan, Songde Ma

      Pages 198-205

   2. A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography

      • Yun Zhu, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan

      Pages 206-213

   3. A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning

      • Tommaso Mansi, Stanley Durrleman, Boris Bernhardt, Maxime Sermesant, Hervé Delingette, Ingmar Voigt et al.

      Pages 214-221

   4. Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms

      • David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea

      Pages 222-229

3. Image Segmentation and Classification

   1. Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays

      • Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman et al.

      Pages 230-238

   2. Nonparametric Intensity Priors for Level Set Segmentation of Low Contrast Structures

      • Sokratis Makrogiannis, Rahul Bhotika, James V. Miller, John Skinner Jr., Melissa Vass

      Pages 239-246

   3. Improving Pit–Pattern Classification of Endoscopy Images by a Combination of Experts

      • Michael Häfner, Alfred Gangl, Roland Kwitt, Andreas Uhl, Andreas Vécsei, Friedrich Wrba

      Pages 247-254

   4. Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model

      • Johannes Feulner, S. Kevin Zhou, Alexander Cavallaro, Sascha Seifert, Joachim Hornegger, Dorin Comaniciu

      Pages 255-262

   5. Automatic Segmentation of the Pulmonary Lobes from Fissures, Airways, and Lung Borders: Evaluation of Robustness against Missing Data

      • Eva M. van Rikxoort, Mathias Prokop, Bartjan de Hoop, Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken

      Pages 263-271

4. Segmentation and Atlas Based Techniques

   1. Joint Segmentation of Image Ensembles via Latent Atlases

      • Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland

      Pages 272-280

   2. Robust Medical Images Segmentation Using Learned Shape and Appearance Models

      • Ayman El-Baz, Georgy Gimel’farb

      Pages 281-288

   3. A Spatio-temporal Atlas of the Human Fetal Brain with Application to Tissue Segmentation

      • Piotr A. Habas, Kio Kim, Francois Rousseau, Orit A. Glenn, A. James Barkovich, Colin Studholme

      Pages 289-296

   4. Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets

      • Stanley Durrleman, Xavier Pennec, Alain Trouvé, Guido Gerig, Nicholas Ayache

      Pages 297-304

   5. On the Manifold Structure of the Space of Brain Images

      • Samuel Gerber, Tolga Tasdizen, Sarang Joshi, Ross Whitaker

      Pages 305-312

5. Neuroimage Analysis

   1. Gyral Folding Pattern Analysis via Surface Profiling

      • Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao et al.

      Pages 313-320

The two-volume set LNCS 5761 and LNCS 5762 constitute the refereed proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009, held in London, UK, in September 2009. Based on rigorous peer reviews, the program committee carefully selected 259 revised papers from 804 submissions for presentation in two volumes. The first volume includes 125 papers divided in topical sections on cardiovascular image guided intervention and robotics; surgical navigation and tissue interaction; intra-operative imaging and endoscopic navigation; motion modelling and image formation; image registration; modelling and segmentation; image segmentation and classification; segmentation and atlas based techniques; neuroimage analysis; surgical navigation and robotics; image registration; and neuroimage analysis: structure and function.

• Navigation
• classification
• computer
• image analysis
• modeling
• robot
• robotics
• tissue

• Institute of Biomedical Engineering, London, UK

  Guang-Zhong Yang

• Centre for Medical Image Computing, University College London, London, UK

  David Hawkes

• Department of Computing, Imperial College London, London, UK

  Daniel Rueckert

• Institute of Biomedical Engineering, University of Oxford, Oxford, UK

  Alison Noble

• School of Computer Science, University of Manchester, Manchester, UK

  Chris Taylor

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