Information Processing in Medical Imaging

1. Front Matter

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2. Segmentation

   1. Segmentation of Brain Images Using Adaptive Atlases with Application to Ventriculomegaly

      • Navid Shiee, Pierre-Louis Bazin, Jennifer L. Cuzzocreo, Ari Blitz, Dzung L. Pham

      Pages 1-12

   2. Adaptive Riemannian Metrics for Improved Geodesic Tracking of White Matter

      • Xiang Hao, Ross T. Whitaker, P. Thomas Fletcher

      Pages 13-24

   3. Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning

      • Juan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, Zhuowen Tu, Antonio Criminisi

      Pages 25-36

   4. Segmentation of 3D RF Echocardiography Using a Multiframe Spatio-temporal Predictor

      • Paul C. Pearlman, Hemant D. Tagare, Ben A. Lin, Albert J. Sinusas, James S. Duncan

      Pages 37-48

   5. Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation

      • Jens Petersen, Mads Nielsen, Pechin Lo, Zaigham Saghir, Asger Dirksen, Marleen de Bruijne

      Pages 49-60

   6. Surface–Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors

      • Qi Song, Mingqing Chen, Junjie Bai, Milan Sonka, Xiaodong Wu

      Pages 61-72

3. Statistical Methods

   1. Optimal Weights for Multi-atlas Label Fusion

      • Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Altinay, Paul Yushkevich

      Pages 73-84

   2. Characterizing Spatially Varying Performance to Improve Multi-atlas Multi-label Segmentation

      • Andrew J. Asman, Bennett A. Landman

      Pages 85-96

   3. Discovering Dense and Consistent Landmarks in the Brain

      • Dajiang Zhu, Degang Zhang, Carlos Faraco, Kaiming Li, Fan Deng, Hanbo Chen et al.

      Pages 97-110

   4. Auto-alignment of Knee MR Scout Scans through Redundant, Adaptive and Hierarchical Anatomy Detection

      • Yiqiang Zhan, Maneesh Dewan, Xiang Sean Zhou

      Pages 111-122

   5. Optimal Data-Driven Sparse Parameterization of Diffeomorphisms for Population Analysis

      • Sandy Durrleman, Marcel Prastawa, Guido Gerig, Sarang Joshi

      Pages 123-134

   6. Learning an Atlas of a Cognitive Process in Its Functional Geometry

      • Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei Tie, Laura Rigolo, Alexandra J. Golby et al.

      Pages 135-146

4. Shape Analysis

   1. Parameterization-Invariant Shape Statistics and Probabilistic Classification of Anatomical Surfaces

      • Sebastian Kurtek, Eric Klassen, Zhaohua Ding, Malcolm J. Avison, Anuj Srivastava

      Pages 147-158

   2. On the Extraction of Topologically Correct Thickness Measurements Using Khalimsky’s Cubic Complex

      • M. Jorge Cardoso, Matthew J. Clarkson, Marc Modat, Sebastien Ourselin

      Pages 159-170

5. Poster Session I (Segmentation, Shape Analysis, Statistical Methods, Image Reconstruction, Microscopic Image Analysis)

   1. A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI

      • Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar, Aashish Goela, Ali Islam et al.

      Pages 171-183

   2. Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images

      • Albert Montillo, Jamie Shotton, John Winn, Juan Eugenio Iglesias, Dimitri Metaxas, Antonio Criminisi

      Pages 184-196

   3. Venous Tree Separation in the Liver: Graph Partitioning Using a Non-ising Model

      • Thomas O’Donnell, Jens N. Kaftan, Andreas Schuh, Christian Tietjen, Grzegorz Soza, Til Aach

      Pages 197-207

   4. Efficient Algorithms for Segmenting Globally Optimal and Smooth Multi-surfaces

      • Lei Xu, Branislav Stojkovic, Yongding Zhu, Qi Song, Xiaodong Wu, Milan Sonka et al.

      Pages 208-220

   5. Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation

      • Ismail Ben Ayed, Kumaradevan Punithakumar, Gregory Garvin, Walter Romano, Shuo Li

      Pages 221-232

This book constitutes the refereed proceedings of the 22nd International Conference on Information Processing in Medical Imaging, IPMI 2011, held at Kloster Irsee, Germany, in July 2011. The 24 full papers and 39 poster papers included in this volume were carefully reviewed and selected from 224 submissions. The papers are organized in topical sections on segmentation, statistical methods, shape analysis, registration, diffusion imaging, disease progression modeling, and computer aided diagnosis. The poster sessions deal with segmentation, shape analysis, statistical methods, image reconstruction, microscopic image analysis, computer aided diagnosis, diffusion imaging, functional brain analysis, registration and other related topics.

• computational anatomy
• fMRI classification
• radiation therapy
• spatial-temporal registration
• tree classification

• Swiss Federal Institute of Technology, Computer Vision Laboratory, Medical Image Analysis and Visualization Group,, ETH-Zentrum, Zurich, Switzerland

  Gábor Székely

• Fraunhofer MEVIS, Bremen, Germany

  Horst K. Hahn

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