Multimodal Brain Image Analysis: Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings

✍ Scribed by Jingwen Yan, Shannon L. Risacher, Sungeun Kim (auth.), Pew-Thian Yap, Tianming Liu, Dinggang Shen, Carl-Fredrik Westin, Li Shen (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2012
• Tongue: English
• Leaves: 235
• Series: Lecture Notes in Computer Science 7509
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages -
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning....Pages 1-17
Combining DTI and MRI for the Automated Detection of Alzheimer’s Disease Using a Large European Multicenter Dataset....Pages 18-28
Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults....Pages 29-40
Connectivity Network Breakdown Predicts Imminent Volumetric Atrophy in Early Mild Cognitive Impairment....Pages 41-50
Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI....Pages 51-60
Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry....Pages 61-76
Do We Really Need Robust and Alternative Inference Methods for Brain MRI?....Pages 77-93
Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation....Pages 94-102
How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size....Pages 103-114
A Generative Model for Probabilistic Label Fusion of Multimodal Data....Pages 115-133
Spatial Normalization of Diffusion Tensor Images with Voxel-Wise Reconstruction of the Diffusion Gradient Direction....Pages 134-146
Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases....Pages 147-156
Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter Lesions in MS....Pages 157-166
Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration....Pages 167-174
Structural Feature Selection for Connectivity Network-Based MCI Diagnosis....Pages 175-184
Groupwise Segmentation Improves Neuroimaging Classification Accuracy....Pages 185-193
DWI Denoising Using Spatial, Angular, and Radiometric Filtering....Pages 194-202
MRI Estimation of T 1 Relaxation Time Using a Constrained Optimization Algorithm....Pages 203-214
Robust Cerebral Blood Flow Map Estimation in Arterial Spin Labeling....Pages 215-224
Back Matter....Pages -

✦ Subjects

Pattern Recognition; Image Processing and Computer Vision; Computer Graphics; Artificial Intelligence (incl. Robotics); Algorithm Analysis and Problem Complexity; Imaging / Radiology