Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging

1. Front Matter

   PDF

2. Registration

   1. Real-Time 2D/3D Deformable Registration Using Metric Learning

      • Chen-Rui Chou, Stephen Pizer

      Pages 1-10

   2. Groupwise Spectral Log-Demons Framework for Atlas Construction

      • Herve Lombaert, Leo Grady, Xavier Pennec, Jean-Marc Peyrat, Nicholas Ayache, Farida Cheriet

      Pages 11-19

   3. Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint

      • Yanrong Guo, Guorong Wu, Yakang Dai, Jianguo Jiang, Dinggang Shen

      Pages 20-28

3. Segmentation

   1. Semi-supervised Segmentation Using Multiple Segmentation Hypotheses from a Single Atlas

      • Tobias Gass, Gábor Székely, Orcun Goksel

      Pages 29-37

   2. Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts

      • Andres Arias, Jens Petersen, Arna van Engelen, Hui Tang, Mariana Selwaness, Jacqueline C. M. Witteman et al.

      Pages 38-47

   3. Graph Cut Segmentation Using a Constrained Statistical Model with Non-linear and Sparse Shape Optimization

      • Tahir Majeed, Ketut Fundana, Silja Kiriyanthan, Jörg Beinemann, Philippe Cattin

      Pages 48-58

   4. Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests

      • Kiryl Chykeyuk, Mohammad Yaqub, J. Alison Noble

      Pages 59-69

   5. Novel Vector-Valued Approach to Automatic Brain Tissue Classification

      • Nataliya Portman, Alan Evans

      Pages 70-81

   6. Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance

      • Fabian Gigengack, Lars Ruthotto, Xiaoyi Jiang, Jan Modersitzki, Martin Burger, Sven Hermann et al.

      Pages 82-92

   7. Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework

      • Zehan Wang, Robin Wolz, Tong Tong, Daniel Rueckert

      Pages 93-103

   8. Efficient Geometrical Potential Force Computation for Deformable Model Segmentation

      • Igor Sazonov, Xianghua Xie, Perumal Nithiarasu

      Pages 104-113

   9. Shape Prior Model for Media-Adventitia Border Segmentation in IVUS Using Graph Cut

      • Ehab Essa, Xianghua Xie, Igor Sazonov, Perumal Nithiarasu, Dave Smith

      Pages 114-123

   10. Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves

       • Ilwoo Lyu, Gang Li, Minjeong Kim, Dinggang Shen

       Pages 124-132

4. Detection, Localization, Tracking

   1. Fast Anatomical Structure Localization Using Top-Down Image Patch Regression

      • René Donner, Bjoern H. Menze, Horst Bischof, Georg Langs

      Pages 133-141

   2. Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering

      • Matthias Schneider, Sven Hirsch, Gábor Székely, Bruno Weber, Bjoern H. Menze

      Pages 142-154

   3. Pipeline for Tracking Neural Progenitor Cells

      • Jacob S. Vestergaard, Anders L. Dahl, Peter Holm, Rasmus Larsen

      Pages 155-164

   4. Automatic Heart Isolation in 3D CT Images

      • Hua Zhong, Yefeng Zheng, Gareth Funka-Lea, Fernando Vega-Higuera

      Pages 165-180

   5. Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification

      • Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu

      Pages 181-193

   6. Context Enhanced Graphical Model for Object Localization in Medical Images

      • Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng

      Pages 194-205

This book constitutes the thoroughly refereed workshop proceedings of the Second International Workshop on Medical Computer Vision, MCV 2012, held in Nice, France, October 2012 in conjunction with the 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012.
The 24 papers have been selected out of 42 submissions. At MCV 2012, 12 papers were presented as a poster and 12 as a poster together with a plenary talk. The book also features four selected papers which were presented at the previous CVPR Medical Computer Vision workshop held in conjunction with the International Conference on Computer Vision and Pattern Recognition on June 21 2012 in Providence, Rhode Island, USA. The papers explore the use of modern computer vision technology in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies, as well as 3D reconstruction and biophysical model personalization.

• MR images
• atlas-based labeling
• graph cut segmentation
• machine learning
• medical image analysis

• Computer Vision Lab., ETH Zurich, Switzerland

  Bjoern H. Menze

• Computational Image Analysis and Radiology Lab Department of Radiology, Medical University of Vienna, Austria

  Georg Langs

• Siemens Corporate Research, Princeton, USA

  Le Lu

• GE Global Research, Niskayuna, USA

  Albert Montillo

• Lab of Neuro Imaging, Department of Neurology and Department of Computer Science, UCLA, USA

  Zhuowen Tu

• Microsoft Research, Cambridge, UK

  Antonio Criminisi

Policies and ethics