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Information Processing in Medical Imaging

21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009, Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Jerry L. Prince

    1. Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, USA

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  2. Dzung L. Pham

    1. Department of Radiology, Johns Hopkins University, Baltimore, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Kyle J. Myers

    1. Division of Imaging and Applied Mathematics, OSEL, U.S. Food and Drug Administration, Silver Spring, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5636)

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

Included in the following conference series:

Conference proceedings info: IPMI 2009.

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Table of contents (59 papers)

  1. Poster Session I

    1. Fully-Automated White Matter Hyperintensity Detection with Anatomical Prior Knowledge and without FLAIR

      • Christopher Schwarz, Evan Fletcher, Charles DeCarli, Owen Carmichael
      Pages 239-251

    2. Identification of Growth Seeds in the Neonate Brain through Surfacic Helmholtz Decomposition

      • Julien Lefèvre, François Leroy, Sheraz Khan, Jessica Dubois, Petra S. Huppi, Sylvain Baillet et al.
      Pages 252-263

    3. Active Imaging with Dual Spin-Echo Diffusion MRI

      • Jonathan D. Clayden, Zoltan Nagy, Matt G. Hall, Chris A. Clark, Daniel C. Alexander
      Pages 264-275

    4. Voxel-by-Voxel Functional Diffusion Mapping for Early Evaluation of Breast Cancer Treatment

      • Bing Ma, Charles R. Meyer, Martin D. Pickles, Thomas L. Chenevert, Peyton H. Bland, Craig J. Galbán et al.
      Pages 276-287

    5. MRI Tissue Classification and Bias Field Estimation Based on Coherent Local Intensity Clustering: A Unified Energy Minimization Framework

      • Chunming Li, Chenyang Xu, Adam W. Anderson, John C. Gore
      Pages 288-299

    6. A Unified Framework for MR Based Disease Classification

      • Kilian M. Pohl, Mert R. Sabuncu
      Pages 300-313

    7. MARM: Multiscale Adaptive Regression Models for Neuroimaging Data

      • Hongtu Zhu, Yimei Li, Joseph G. Ibrahim, Weili Lin, Dinggang Shen
      Pages 314-325

    8. Automatic Segmentation of Brain Structures Using Geometric Moment Invariants and Artificial Neural Networks

      • Mostafa Jabarouti Moghaddam, Hamid Soltanian-Zadeh
      Pages 326-337

    9. Adaptive Kernels for Multi-fiber Reconstruction

      • Angelos Barmpoutis, Bing Jian, Baba C. Vemuri
      Pages 338-349

    10. Smooth 3-D Reconstruction for 2-D Histological Images

      • Amalia Cifor, Tony Pridmore, Alain Pitiot
      Pages 350-361

  2. Microscopy

    1. Nonnegative Mixed-Norm Preconditioning for Microscopy Image Segmentation

      • Kang Li, Takeo Kanade
      Pages 362-373

    2. Coupled Minimum-Cost Flow Cell Tracking

      • Dirk Padfield, Jens Rittscher, Badrinath Roysam
      Pages 374-385

  3. Exploratory Analyses

    1. Persistence Diagrams of Cortical Surface Data

      • Moo K. Chung, Peter Bubenik, Peter T. Kim
      Pages 386-397

    2. Exploratory fMRI Analysis without Spatial Normalization

      • Danial Lashkari, Polina Golland
      Pages 398-410

  4. Features and Detection

    1. Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images

      • Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
      Pages 411-422

    2. A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification

      • Nematollah Batmanghelich, Ben Taskar, Christos Davatzikos
      Pages 423-434

  5. Image Guided Surgery

    1. Bayesian Registration via Local Image Regions: Information, Selection and Marginalization

      • Matthew Toews, William M. Wells III
      Pages 435-446

    2. A Non-rigid Registration Framework That Accommodates Resection and Retraction

      • Petter Risholm, Eigil Samset, Ion-Florin Talos, William Wells
      Pages 447-458

  6. Shape Analysis

    1. Discriminative Shape Alignment

      • Marco Loog, Marleen de Bruijne
      Pages 459-466

    2. Inverse-Consistent Surface Mapping with Laplace-Beltrami Eigen-Features

      • Yonggang Shi, Jonathan H. Morra, Paul M. Thompson, Arthur W. Toga
      Pages 467-478
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  1. Information Processing in Medical Imaging

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About this book

This book constitutes the refeered proceedings of the 21st International Conference on Information Processing in Medical Imaging, IPMI 2009, held in Williamsburg, VA, USA, in July 2009 The 26 revised full papers and 33 revised poster papers presented were carefully reviewed and selected from 150 submissions. The papers are organized in topical sections on diffusion imaging, PET imaging, image registration, functional networks, space curves, tractography, microscopy, exploratory analyses, features and detection, image guided surgery, shape analysis, motion, and segmentation and validation.

Editors and Affiliations

  • Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, USA

    Jerry L. Prince

  • Department of Radiology, Johns Hopkins University, Baltimore, USA

    Dzung L. Pham

  • Division of Imaging and Applied Mathematics, OSEL, U.S. Food and Drug Administration, Silver Spring, USA

    Kyle J. Myers

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