Information Processing in Medical Imaging

1. Front Matter

   PDF

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

4. Image Registration

   1. DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting

      • Yangming Ou, Christos Davatzikos

      Pages 50-62

   2. Simultaneous Consideration of Spatial Deformation and Tensor Orientation in Diffusion Tensor Image Registration Using Local Fast Marching Patterns

      • Hai Li, Zhong Xue, Lei Guo, Stephen T. C. Wong

      Pages 63-75

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

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.

• Bayesian estimation
• Radiologieinformationssystem
• artificial neural network
• brain imaging
• cell analysis
• classification
• discrete optimization
• fMRI analysis
• graph-theory
• linear programming
• magnetic resonance imaging
• medical im
• medical image computing
• medical image processing
• ultrasound

• 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

Policies and ethics