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Multimodal Brain Image Analysis

Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012, Proceedings

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Pew-Thian Yap

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

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  2. Tianming Liu

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

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  3. Dinggang Shen

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

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  4. Carl-Fredrik Westin

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

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  5. Li Shen

    1. School of Medicine, Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7509)

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

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Conference proceedings info: MBIA 2012.

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About this book

This book constitutes the refereed proceedings of the Second International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 19 revised full papers presented were carefully reviewed and selected from numerous submissions. The objective of this workshop is to forward the state of the art in analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.

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Table of contents (19 papers)

  1. Front Matter

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  2. Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning

    • Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan et al.
    Pages 1-17

  3. Combining DTI and MRI for the Automated Detection of Alzheimer’s Disease Using a Large European Multicenter Dataset

    • Martin Dyrba, Michael Ewers, Martin Wegrzyn, Ingo Kilimann, Claudia Plant, Annahita Oswald et al.
    Pages 18-28

  4. Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults

    • Neda Jahanshad, Gautam Prasad, Arthur W. Toga, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin et al.
    Pages 29-40

  5. Connectivity Network Breakdown Predicts Imminent Volumetric Atrophy in Early Mild Cognitive Impairment

    • Talia M. Nir, Neda Jahanshad, Arthur W. Toga, Clifford R. Jack, Michael W. Weiner, Paul M. Thompson
    Pages 41-50

  6. Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI

    • Burak Yoldemir, Bernard Ng, Rafeef Abugharbieh
    Pages 51-60

  7. Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry

    • Jie Shi, Paul M. Thompson, Yalin Wang
    Pages 61-76

  8. Do We Really Need Robust and Alternative Inference Methods for Brain MRI?

    • Bennett A. Landman, Xue Yang, Hakmook Kang
    Pages 77-93

  9. Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation

    • Daoqiang Zhang, Qimiao Guo, Guorong Wu, Dinggang Shen
    Pages 94-102

  10. How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size

    • Suyash P. Awate, Peihong Zhu, Ross T. Whitaker
    Pages 103-114

  11. A Generative Model for Probabilistic Label Fusion of Multimodal Data

    • Juan Eugenio Iglesias, Mert Rory Sabuncu, Koen Van Leemput
    Pages 115-133

  12. Spatial Normalization of Diffusion Tensor Images with Voxel-Wise Reconstruction of the Diffusion Gradient Direction

    • Wei Liu, Xiaozheng Liu, Xiaofu He, Zhenyu Zhou, Ying Wen, Yongdi Zhou et al.
    Pages 134-146

  13. Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases

    • Yan Jin, Yonggang Shi, Liang Zhan, Junning Li, Greig I. de Zubicaray, Katie L. McMahon et al.
    Pages 147-156

  14. Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter Lesions in MS

    • Maddalena Strumia, Constantin Anastasopoulos, Irina Mader, Jürgen Henning, Li Bai, Stathis Hadjidemetriou
    Pages 157-166

  15. Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration

    • Tuo Zhang, Lei Guo, Hanbo Chen, Xintao Hu, Kaiming Li, Tianming Liu
    Pages 167-174

  16. Structural Feature Selection for Connectivity Network-Based MCI Diagnosis

    • Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen
    Pages 175-184

  17. Groupwise Segmentation Improves Neuroimaging Classification Accuracy

    • Yaping Wang, Hongjun Jia, Pew-Thian Yap, Bo Cheng, Chong-Yaw Wee, Lei Guo et al.
    Pages 185-193

  18. DWI Denoising Using Spatial, Angular, and Radiometric Filtering

    • Pew-Thian Yap, Dinggang Shen
    Pages 194-202

  19. MRI Estimation of T 1 Relaxation Time Using a Constrained Optimization Algorithm

    • Fang Cao, Olivier Commowick, Elise Bannier, Jean-Christophe Ferré, Gilles Edan, Christian Barillot
    Pages 203-214

  20. Robust Cerebral Blood Flow Map Estimation in Arterial Spin Labeling

    • Camille Maumet, Pierre Maurel, Jean-Christophe Ferré, Christian Barillot
    Pages 215-224
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Other volumes

  1. Multimodal Brain Image Analysis

Editors and Affiliations

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

    Pew-Thian Yap, Dinggang Shen

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

    Tianming Liu

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

    Carl-Fredrik Westin

  • School of Medicine, Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, USA

    Li Shen

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