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Information Processing in Medical Imaging

23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28--July 3, 2013, Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. James C. Gee

    1. Department of Radiology, University of Pennsylvania, Philadelphia, USA

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  2. Sarang Joshi

    1. Department of Bioengineering, University of Utah, Salt Lake City, USA

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  3. Kilian M. Pohl

    1. Department of Radiology, University of Pennsylvania, Philadelphia, USA

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  4. William M. Wells

    1. Department of Radiology, Harvard Medical School and Brigham and Women’s Hospital, Boston, USA

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  5. Lilla Zöllei

    1. A.A. Martinos Center for Biomedical Imaging, Harvard Medical School and Massachussetts General Hospital, Chalrestown, USA

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  • Conference proceedings of the International Conference on Information Processing in Medical Imaging, IPMI 2013

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7917)

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 2013.

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Table of contents (64 papers)

  1. Front Matter

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  2. Connectivity

    1. Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification

      • Chenhui Hu, Lin Cheng, Jorge Sepulcre, Georges El Fakhri, Yue M. Lu, Quanzheng Li
      Pages 1-12

    2. Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models

      • Dajiang Zhu, Xiang Li, Xi Jiang, Hanbo Chen, Dinggang Shen, Tianming Liu
      Pages 13-24

  3. Groupwise Registration

    1. Feature-Based Alignment of Volumetric Multi-modal Images

      • Matthew Toews, Lilla Zöllei, William M. Wells
      Pages 25-36

    2. Bayesian Estimation of Regularization and Atlas Building in Diffeomorphic Image Registration

      • Miaomiao Zhang, Nikhil Singh, P. Thomas Fletcher
      Pages 37-48

  4. Neuro Segmentation

    1. Gradient Competition Anisotropy for Centerline Extraction and Segmentation of Spinal Cords

      • Max W. K. Law, Gregory J. Garvin, Sudhakar Tummala, KengYeow Tay, Andrew E. Leung, Shuo Li
      Pages 49-61

    2. Automated Segmentation of the Cerebellar Lobules Using Boundary Specific Classification and Evolution

      • John A. Bogovic, Pierre-Louis Bazin, Sarah H. Ying, Jerry L. Prince
      Pages 62-73

  5. Statistical Analysis I

    1. Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees

      • Aasa Feragen, Megan Owen, Jens Petersen, Mathilde M. W. Wille, Laura H. Thomsen, Asger Dirksen et al.
      Pages 74-85

    2. Predicting Cognitive Data from Medical Images Using Sparse Linear Regression

      • Benjamin M. Kandel, David A. Wolk, James C. Gee, Brian Avants
      Pages 86-97

  6. Dynamic Imaging

    1. A Multiple Hypothesis Based Method for Particle Tracking and Its Extension for Cell Segmentation

      • Liang Liang, Hongying Shen, Panteleimon Rompolas, Valentina Greco, Pietro De Camilli, James S. Duncan
      Pages 98-109

    2. A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences

      • Seyed Hamid Rezatofighi, Stephen Gould, Ba-Ngu Vo, Katarina Mele, William E. Hughes, Richard Hartley
      Pages 110-122

    3. Multi-layer Deformation Estimation for Fluoroscopic Imaging

      • J. Samuel Preston, Caleb Rottman, Arvidas Cheryauka, Larry Anderton, Ross T. Whitaker, Sarang Joshi
      Pages 123-134

  7. Poster Session I

    1. Fiber Connectivity Integrated Brain Activation Detection

      • Burak Yoldemir, Bernard Ng, Todd S. Woodward, Rafeef Abugharbieh
      Pages 135-146

    2. Diffeomorphic Metric Mapping of Hybrid Diffusion Imaging Based on BFOR Signal Basis

      • Jia Du, A. Pasha Hosseinbor, Moo K. Chung, Barbara B. Bendlin, Gaurav Suryawanshi, Andrew L. Alexander et al.
      Pages 147-158

    3. Hyperbolic Harmonic Brain Surface Registration with Curvature-Based Landmark Matching

      • Rui Shi, Wei Zeng, Zhengyu Su, Yalin Wang, Hanna Damasio, Zhonglin Lu et al.
      Pages 159-170

    4. Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry

      • Aasa Feragen, Jens Petersen, Dominik Grimm, Asger Dirksen, Jesper Holst Pedersen, Karsten Borgwardt et al.
      Pages 171-183

    5. Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles

      • Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Dimitris Metaxas, Leon Axel
      Pages 184-195

    6. Data-Driven Interactive 3D Medical Image Segmentation Based on Structured Patch Model

      • Sang Hyun Park, Il Dong Yun, Sang Uk Lee
      Pages 196-207

    7. Sparse Deformable Models with Application to Cardiac Motion Analysis

      • Yang Yu, Shaoting Zhang, Junzhou Huang, Dimitris Metaxas, Leon Axel
      Pages 208-219

    8. A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics

      • Ying Yuan, John H. Gilmore, Xiujuan Geng, Martin A. Styner, Kehui Chen, Jane-ling Wang et al.
      Pages 220-231
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  1. Information Processing in Medical Imaging

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About this book

This book constitutes the proceedings of the 23rd International Conference on Information Processing in Medical Imaging, IPMI 2013, held in Asilomar in June/July 2013. The 26 full papers and 38 poster papers presented in this volume were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on connectivity, groupwise registration, neuro segmentation, statistical analysis, dynamic imaging, cortical surface registration, diffusion MRI, functional imaging, torso image analysis, and tract analysis.

Editors and Affiliations

  • Department of Radiology, University of Pennsylvania, Philadelphia, USA

    James C. Gee, Kilian M. Pohl

  • Department of Bioengineering, University of Utah, Salt Lake City, USA

    Sarang Joshi

  • Department of Radiology, Harvard Medical School and Brigham and Women’s Hospital, Boston, USA

    William M. Wells

  • A.A. Martinos Center for Biomedical Imaging, Harvard Medical School and Massachussetts General Hospital, Chalrestown, USA

    Lilla Zöllei

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