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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

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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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  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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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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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.

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Table of contents (59 papers)

  1. Front Matter

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  2. Diffusion Imaging

    1. Diffusion Propagator Imaging: Using Laplace’s Equation and Multiple Shell Acquisitions to Reconstruct the Diffusion Propagator

      • Maxime Descoteaux, Rachid Deriche, Denis Le Bihan, Jean-François Mangin, Cyril Poupon
      Pages 1-13

    2. Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics

      • Radhouène Neji, Ahmed Besbes, Nikos Komodakis, Jean-François Deux, Mezri Maatouk, Alain Rahmouni et al.
      Pages 14-25

  3. PET Imaging

    1. High-Resolution Adaptive PET Imaging

      • Jian Zhou, Jinyi Qi
      Pages 26-37

    2. Dynamic Dual-Tracer PET Reconstruction

      • Fei Gao, Huafeng Liu, Yiqiang Jian, Pengcheng Shi
      Pages 38-49

  5. Functional Networks

    1. Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD)

      • Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
      Pages 76-87

    2. Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation

      • Wanmei Ou, Aapo Nummenmaa, Matti Hämäläinen, Polina Golland
      Pages 88-100

  6. Space Curves

    1. Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model

      • Xiaogang Wang, W. Eric L. Grimson, Carl-Fredrik Westin
      Pages 101-113

    2. A Statistical Model of White Matter Fiber Bundles Based on Currents

      • Stanley Durrleman, Pierre Fillard, Xavier Pennec, Alain Trouvé, Nicholas Ayache
      Pages 114-125

  7. Tractography

    1. Neural Tractography Using an Unscented Kalman Filter

      • James G. Malcolm, Martha E. Shenton, Yogesh Rathi
      Pages 126-138

    2. Multi-fiber Reconstruction from DW-MRI Using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions

      • Ritwik Kumar, Baba C. Vemuri, Fei Wang, Tanveer Syeda-Mahmood, Paul R. Carney, Thomas H. Mareci
      Pages 139-150

  8. Poster Session I

    1. Regression Models of Atlas Appearance

      • Torsten Rohlfing, Edith V. Sullivan, Adolf Pfefferbaum
      Pages 151-162

    2. Non-rigid Image Registration with Uniform Spherical Structure Patterns

      • Shu Liao, Albert C. S. Chung
      Pages 163-175

    3. Joint Bayesian Cortical Sulci Recognition and Spatial Normalization

      • Matthieu Perrot, Denis Rivière, Alan Tucholka, Jean-François Mangin
      Pages 176-187

    4. Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model

      • Andrew P. King, Ying-Liang Ma, Cheng Yao, Christian Jansen, Reza Razavi, Kawal S. Rhode et al.
      Pages 188-201

    5. Automatic Cortical Sulcal Parcellation Based on Surface Principal Direction Flow Field Tracking

      • Gang Li, Lei Guo, Jingxin Nie, Tianming Liu
      Pages 202-214

    6. A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration

      • Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa S. Cook, James C. Gee
      Pages 215-226

    7. Generalized L2-Divergence and Its Application to Shape Alignment

      • Fei Wang, Baba Vemuri, Tanveer Syeda-Mahmood
      Pages 227-238
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Other volumes

  1. Information Processing in Medical Imaging

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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