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Information Processing in Medical Imaging

22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011, Proceedings

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Gábor Székely

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

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  2. Horst K. Hahn

    1. Fraunhofer MEVIS, Bremen, Germany

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    You can also search for this editor in PubMed   Google Scholar

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6801)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

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Conference proceedings info: IPMI 2011.

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Table of contents (64 papers)

  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
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  1. Information Processing in Medical Imaging

Keywords

About this book

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.

Editors and Affiliations

  • 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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