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Multimodal Brain Image Analysis

First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Proceedings

  • Conference proceedings
  • © 2011

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Editors:
  1. Tianming Liu

    1. Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, USA

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  2. Dinggang Shen

    1. School of Medicine, Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, USA

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  3. Luis Ibanez

    1. Kitware Inc., Clifton Park, USA

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  4. Xiaodong Tao

    1. General Electric Research Center, Niskayuna, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7012)

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

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Conference proceedings info: MBIA 2011.

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Table of contents (19 papers)

  1. Front Matter

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  2. Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging

    • Xue Yang, Carolyn B. Lauzon, Ciprian Crainiceanu, Brian Caffo, Susan M. Resnick, Bennett A. Landman
    Pages 1-9

  3. Joint T1 and Brain Fiber Diffeomorphic Registration Using the Demons

    • Viviana Siless, Pamela Guevara, Xavier Pennec, Pierre Fillard
    Pages 10-18

  4. Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps

    • Daniel Forsberg, Yogesh Rathi, Sylvain Bouix, Demian Wassermann, Hans Knutsson, Carl-Fredrik Westin
    Pages 19-26

  5. Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net

    • Li Shen, Sungeun Kim, Yuan Qi, Mark Inlow, Shanker Swaminathan, Kwangsik Nho et al.
    Pages 27-34

  6. Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins

    • Yan Jin, Yonggang Shi, Shantanu H. Joshi, Neda Jahanshad, Liang Zhan, Greig I. de Zubicaray et al.
    Pages 35-43

  7. Ordinal Ranking for Detecting Mild Cognitive Impairment and Alzheimer’s Disease Based on Multimodal Neuroimages and CSF Biomarkers

    • Yong Fan
    Pages 44-51

  8. Manual Annotation, 3-D Shape Reconstruction, and Traumatic Brain Injury Analysis

    • Lyubomir Zagorchev, Ardeshir Goshtasby, Keith Paulsen, Thomas McAllister, Stewart Young, Juergen Weese
    Pages 52-59

  9. Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer’s Disease

    • Daoqiang Zhang, Dinggang Shen
    Pages 60-67

  10. Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures

    • Degang Zhang, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Kaiming Li et al.
    Pages 68-75

  11. T 1 Mapping, AIF and Pharmacokinetic Parameter Extraction from Dynamic Contrast Enhancement MRI Data

    • Gilad Liberman, Yoram Louzoun, Olivier Colliot, Dafna Ben Bashat
    Pages 76-83

  12. Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients

    • Zhaojin Gong, Jianfeng Lu, Jia Chen, Yaping Wang, Yixuan Yuan, Tuo Zhang et al.
    Pages 84-92

  13. Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images

    • Li Wang, Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen
    Pages 93-101

  14. Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data

    • Yimei Li, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, Hongtu Zhu
    Pages 102-109

  15. Segmentation of Medical Images of Different Modalities Using Distance Weighted C-V Model

    • Xiaozheng Liu, Wei Liu, Yan Xu, Yongdi Zhou, Junming Zhu, Bradley S. Peterson et al.
    Pages 110-117

  16. Evaluation of Traumatic Brain Injury Patients Using a Shape-Constrained Deformable Model

    • Lyubomir Zagorchev, Carsten Meyer, Thomas Stehle, Reinhard Kneser, Stewart Young, Juergen Weese
    Pages 118-125

  17. Human Brain Mapping with Conformal Geometry and Multivariate Tensor-Based Morphometry

    • Jie Shi, Paul M. Thompson, Yalin Wang
    Pages 126-134

  18. Information-Theoretic Multi-modal Image Registration Based on the Improved Fast Gauss Transform: Application to Brain Images

    • Žiga Å piclin, BoÅ¡tjan Likar, Franjo PernuÅ¡
    Pages 135-142

  19. Simultaneous Brain Structures Segmentation Combining Shape and Pose Forces

    • Octavian Soldea, Trung Doan, Andrew Webb, Mark van Buchem, Julien Milles, Radu Jasinschi
    Pages 143-151

  20. Improved Tissue Segmentation by Including an MR Acquisition Model

    • Dirk H. J. Poot, Marleen de Bruijne, Meike W. Vernooij, M. Arfan Ikram, Wiro J. Niessen
    Pages 152-159
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About this book

This book constitutes the refereed proceedings of the First International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011.
The 15 revised full papers presented together with 4 poster papers were carefully reviewed and selected from 24 submissions. The objective of this workshop is to facilitate advancements in the multimodal brain image analysis field, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.

Editors and Affiliations

  • Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, USA

    Tianming Liu

  • School of Medicine, Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, USA

    Dinggang Shen

  • Kitware Inc., Clifton Park, USA

    Luis Ibanez

  • General Electric Research Center, Niskayuna, USA

    Xiaodong Tao

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