Multimodal Brain Image Analysis: Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings

✍ Scribed by Junning Li, Yonggang Shi, Ivo D. Dinov, Arthur W. Toga (auth.), Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin (eds.)

• Publisher: Springer International Publishing
• Year: 2013
• Tongue: English
• Leaves: 268
• Series: Lecture Notes in Computer Science 8159
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the Third International Workshop on Multimodal Brain Image Analysis, MBIA 2013, held in Nagoya, Japan, on September 22, 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on analysis, methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience and clinical applications.

✦ Table of Contents

Front Matter....Pages -
Locally Weighted Multi-atlas Construction....Pages 1-8
Assessing Structural Organization and Functional Interaction in Gyral, Sulcal and Cortical Networks....Pages 9-17
Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke....Pages 18-30
Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database....Pages 31-39
Bi-modal Non-rigid Registration of Brain MRI Data Based on Deconvolution of Joint Statistics....Pages 40-50
Atlas Based Intensity Transformation of Brain MR Images....Pages 51-62
Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation....Pages 63-73
Superpixel-Based Segmentation of Glioblastoma Multiforme from Multimodal MR Images....Pages 74-83
Mapping Dynamic Changes in Ventricular Volume onto Baseline Cortical Surfaces in Normal Aging, MCI, and Alzheimer’s Disease....Pages 84-94
Unsupervised Fiber Bundles Registration Using Weighted Measures Geometric Demons....Pages 95-106
Classification Forests and Markov Random Field to Segment Chronic Ischemic Infarcts from Multimodal MRI....Pages 107-118
Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping....Pages 119-128
A Dynamical Clustering Model of Brain Connectivity Inspired by the N -Body Problem....Pages 129-137
Cortical Surface Analysis of Multi-contrast MR Data to Improve Detection of Cortical Pathology in Multiple Sclerosis....Pages 138-149
PARP1 Gene Variation and Microglial Activity on [ 11 C]PBR28 PET in Older Adults at Risk for Alzheimer’s Disease....Pages 150-158
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI)....Pages 159-169
Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model....Pages 170-179
Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection....Pages 180-188
Bivariate Genome-Wide Association Study of Genetically Correlated Neuroimaging Phenotypes from DTI and MRI through a Seemingly Unrelated Regression Model....Pages 189-201
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures....Pages 202-210
A Framework to Compare Tractography Algorithms Based on Their Performance in Predicting Functional Networks....Pages 211-221
Multi-modal Surface-Based Alignment of Cortical Areas Using Intra-cortical T1 Contrast....Pages 222-232
A Heat Kernel Based Cortical Thickness Estimation Algorithm....Pages 233-245
A Family of Fast Spherical Registration Algorithms for Cortical Shapes....Pages 246-257
Back Matter....Pages -

✦ Subjects

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