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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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Table of contents (134 papers)

  1. Shape Modelling and Analysis

    1. Topological Characterization of Signal in Brain Images Using Min-Max Diagrams

      • Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M. Dalton, Richard J. Davidson
      Pages 158-166

    2. Particle Based Shape Regression of Open Surfaces with Applications to Developmental Neuroimaging

      • Manasi Datar, Joshua Cates, P. Thomas Fletcher, Sylvain Gouttard, Guido Gerig, Ross Whitaker
      Pages 167-174

    3. Setting Priors and Enforcing Constraints on Matches for Nonlinear Registration of Meshes

      • Benoît Combès, Sylvain Prima
      Pages 175-183

    4. Parametric Representation of Cortical Surface Folding Based on Polynomials

      • Tuo Zhang, Lei Guo, Gang Li, Jingxin Nie, Tianming Liu
      Pages 184-191

    5. Intrinsic Regression Models for Manifold-Valued Data

      • Xiaoyan Shi, Martin Styner, Jeffrey Lieberman, Joseph G. Ibrahim, Weili Lin, Hongtu Zhu
      Pages 192-199

    6. Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences

      • Suyash P. Awate, Paul Yushkevich, Daniel Licht, James C. Gee
      Pages 200-207

    7. Cortical Shape Analysis in the Laplace-Beltrami Feature Space

      • Yonggang Shi, Ivo Dinov, Arthur W. Toga
      Pages 208-215

    8. Shape Analysis of Human Brain Interhemispheric Fissure Bending in MRI

      • Lu Zhao, Jarmo Hietala, Jussi Tohka
      Pages 216-223

    9. Subject-Matched Templates for Spatial Normalization

      • Torsten Rohlfing, Edith V. Sullivan, Adolf Pfefferbaum
      Pages 224-231

    10. Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins

      • Yasheng Chen, Hongtu Zhu, Dinggang Shen, Hongyu An, John Gilmore, Weili Lin
      Pages 232-239

    11. Tensor-Based Morphometry with Mappings Parameterized by Stationary Velocity Fields in Alzheimer’s Disease Neuroimaging Initiative

      • Matías Nicolás Bossa, Ernesto Zacur, Salvador Olmos
      Pages 240-247

  2. Motion Analysis, Physical Based Modelling and Image Reconstruction

    1. High-Quality Model Generation for Finite Element Simulation of Tissue Deformation

      • Orcun Goksel, Septimiu E. Salcudean
      Pages 248-256

    2. Biomechanically-Constrained 4D Estimation of Myocardial Motion

      • Hari Sundar, Christos Davatzikos, George Biros
      Pages 257-265

    3. Predictive Simulation of Bidirectional Glenn Shunt Using a Hybrid Blood Vessel Model

      • Hao Li, Wee Kheng Leow, Ing-Sh Chiu
      Pages 266-274

    4. Surgical Planning and Patient-Specific Biomechanical Simulation for Tracheal Endoprostheses Interventions

      • Miguel A. González Ballester, Amaya Pérez del Palomar, José Luís López Villalobos, Laura Lara Rodríguez, Olfa Trabelsi, Frederic Pérez et al.
      Pages 275-282

    5. Mesh Generation from 3D Multi-material Images

      • Dobrina Boltcheva, Mariette Yvinec, Jean-Daniel Boissonnat
      Pages 283-290

    6. Interactive Simulation of Flexible Needle Insertions Based on Constraint Models

      • Christian Duriez, Christophe Guébert, Maud Marchal, Stephane Cotin, Laurent Grisoni
      Pages 291-299

    7. Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

      • Grand Roman Joldes, Adam Wittek, Mathieu Couton, Simon K. Warfield, Karol Miller
      Pages 300-307

    8. Model-Based Estimation of Ventricular Deformation in the Cat Brain

      • Fenghong Liu, S. Scott Lollis, Songbai Ji, Keith D. Paulsen, Alexander Hartov, David W. Roberts
      Pages 308-315

    9. Contact Studies between Total Knee Replacement Components Developed Using Explicit Finite Elements Analysis

      • Lucian G. Gruionu, Gabriel Gruionu, Stefan Pastrama, Nicolae Iliescu, Taina Avramescu
      Pages 316-322
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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

Keywords

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.

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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