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

12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Guang-Zhong Yang

    1. Institute of Biomedical Engineering, Imperial College London, London, UK

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  2. David Hawkes

    1. Centre for Medical Image Computing, University College London, London, UK

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  3. Daniel Rueckert

    1. Department of Computing, Imperial College London, London, UK

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  4. Alison Noble

    1. Institute of Biomedical Engineering, University of Oxford, Oxford, UK

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  5. Chris Taylor

    1. School of Computer Science, University of Manchester, Manchester, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5762)

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

Included in the following conference series:

Conference proceedings info: MICCAI 2009.

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About this book

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 second volume includes 134 papers divided in topical sections on shape modelling and analysis; motion analyysis, physical based modelling and image reconstruction; neuro, cell and multiscale image analysis; image analysis and computer aided diagnosis; and image segmentation and analysis.

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Table of contents (134 papers)

  1. Front Matter

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  2. Shape Modelling and Analysis

    1. Building Shape Models from Lousy Data

      • Marcel Lüthi, Thomas Albrecht, Thomas Vetter
      Pages 1-8

    2. Statistical Location Model for Abdominal Organ Localization

      • Jianhua Yao, Ronald M. Summers
      Pages 9-17

    3. Volumetric Shape Model for Oriented Tubular Structure from DTI Data

      • Hon Pong Ho, Xenophon Papademetris, Fei Wang, Hilary P. Blumberg, Lawrence H. Staib
      Pages 18-25

    4. A Generic Probabilistic Active Shape Model for Organ Segmentation

      • Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
      Pages 26-33

    5. Organ Segmentation with Level Sets Using Local Shape and Appearance Priors

      • Timo Kohlberger, M. Gökhan UzunbaÅŸ, Christopher Alvino, Timor Kadir, Daniel O. Slosman, Gareth Funka-Lea
      Pages 34-42

    6. Liver Segmentation Using Automatically Defined Patient Specific B-Spline Surface Models

      • Yi Song, Andy J. Bulpitt, Ken W. Brodlie
      Pages 43-50

    7. Airway Tree Extraction with Locally Optimal Paths

      • Pechin Lo, Jon Sporring, Jesper Johannes Holst Pedersen, Marleen de Bruijne
      Pages 51-58

    8. A Deformable Surface Model for Vascular Segmentation

      • Max W. K. Law, Albert C. S. Chung
      Pages 59-67

    9. A Deformation Tracking Approach to 4D Coronary Artery Tree Reconstruction

      • Yanghai Tsin, Klaus J. Kirchberg, Guenter Lauritsch, Chenyang Xu
      Pages 68-75

    10. Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data

      • Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Max Zinser, Stefan Zachow
      Pages 76-83

    11. Conditional Variability of Statistical Shape Models Based on Surrogate Variables

      • Rémi Blanc, Mauricio Reyes, Christof Seiler, Gábor Székely
      Pages 84-91

    12. Surface/Volume-Based Articulated 3D Spine Inference through Markov Random Fields

      • Samuel Kadoury, Nikos Paragios
      Pages 92-99

    13. A Shape Relationship Descriptor for Radiation Therapy Planning

      • Michael Kazhdan, Patricio Simari, Todd McNutt, Binbin Wu, Robert Jacques, Ming Chuang et al.
      Pages 100-108

    14. Feature-Based Morphometry

      • Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel
      Pages 109-116

    15. Constructing a Dictionary of Human Brain Folding Patterns

      • Zhong Yi Sun, Matthieu Perrot, Alan Tucholka, Denis Rivière, Jean-François Mangin
      Pages 117-124

    16. Topological Correction of Brain Surface Meshes Using Spherical Harmonics

      • Rachel Aine Yotter, Robert Dahnke, Christian Gaser
      Pages 125-132

    17. Teichmüller Shape Space Theory and Its Application to Brain Morphometry

      • Yalin Wang, Wei Dai, Xianfeng Gu, Tony F. Chan, Shing-Tung Yau, Arthur W. Toga et al.
      Pages 133-140

    18. A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features

      • Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee et al.
      Pages 141-149

    19. Shape Modelling for Tract Selection

      • Jonathan D. Clayden, Martin D. King, Chris A. Clark
      Pages 150-157
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Other volumes

  1. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

  2. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

Editors and Affiliations

  • Institute of Biomedical Engineering, Imperial College London, 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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