This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI’13) and Mathematical Methods from Brain Connectivity (MMBC’13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013.
Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling.
This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.
Author(s): Yogesh Rathi, Borjan Gagoski, Kawin Setsompop, P. Ellen Grant, C.-F. Westin (auth.), Thomas Schultz, Gemma Nedjati-Gilani, Archana Venkataraman, Lauren O'Donnell, Eleftheria Panagiotaki (eds.)
Series: Mathematics and Visualization
Edition: 1
Publisher: Springer International Publishing
Year: 2014
Language: English
Pages: 255
Tags: Computational Science and Engineering; Image Processing and Computer Vision; Visualization; Pattern Recognition; Theoretical, Mathematical and Computational Physics; Statistics for Life Sciences, Medicine, Health Sciences
Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Comparing Simultaneous Multi-slice Diffusion Acquisitions....Pages 3-11
Effect of Data Acquisition and Analysis Method on Fiber Orientation Estimation in Diffusion MRI....Pages 13-24
Model-Based Super-Resolution of Diffusion MRI....Pages 25-34
A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imaging....Pages 35-44
Front Matter....Pages 45-45
The Diffusion Dictionary in the Human Brain Is Short: Rotation Invariant Learning of Basis Functions....Pages 47-55
Diffusion Propagator Estimation Using Radial Basis Functions....Pages 57-66
A Framework for ODF Inference by Using Fiber Tract Adaptive MPG Selection....Pages 67-79
Non-negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation....Pages 81-93
Front Matter....Pages 95-95
A Novel Riemannian Metric for Geodesic Tractography in DTI....Pages 97-104
Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms....Pages 105-113
Choosing a Tractography Algorithm: On the Effects of Measurement Noise....Pages 115-128
Uncertainty in Tractography via Tract Confidence Regions....Pages 129-138
Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrap....Pages 139-148
Front Matter....Pages 149-149
Groupwise Deformable Registration of Fiber Track Sets Using Track Orientation Distributions....Pages 151-161
Groupwise Registration for Correcting Subject Motion and Eddy Current Distortions in Diffusion MRI Using a PCA Based Dissimilarity Metric....Pages 163-174
Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis....Pages 175-185
Statistical Analysis of White Matter Integrity for the Clinical Study of Typical Specific Language Impairment in Children....Pages 187-195
Front Matter....Pages 197-197
Disrupted Brain Connectivity in Alzheimer’s Disease: Effects of Network Thresholding....Pages 199-208
Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla....Pages 209-218
Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data....Pages 219-227
Front Matter....Pages 197-197
Power Estimates for Voxel-Based Genetic Association Studies Using Diffusion Imaging....Pages 229-238
Global Changes in the Connectome in Autism Spectrum Disorders....Pages 239-247
Back Matter....Pages 249-255
