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Author MICCAI Workshop on Computation Diffusion MRI (5th : 2013 : Nagoya-shi, Japan)

Title Computational diffusion MRI and brain connectivity : MICCAI Workshops, Nagoya, Japan, September 22nd, 2013 / Thomas Schultz ... [and more], editors
Published Cham : Springer, 2014
Table of Contents
pt. I Acquisition of Diffusion MRI 
 Comparing Simultaneous Multi-slice Diffusion Acquisitions / C.-F. Westin3
1.Introduction4
2.Our Contributions5
3.Methods5
4.Experiments6
5.Conclusion10
 References10
 Effect of Data Acquisition and Analysis Method on Fiber Orientation Estimation in Diffusion MRI / Natasha Lepore13
1.Introduction14
2.Materials and Methods14
2.1.Diffusion-Weighted Data Synthesis14
2.2.Quantitative Metrics15
3.Application: Comparison of Fiber Estimation of Several Diffusion Analysis Methods16
3.1.Establishment of Ground-Truth16
3.2.Data Synthesis17
3.3.Data Analysis17
3.4.Results19
4.Discussion and Conclusion22
 References23
 Model-Based Super-Resolution of Diffusion MRI / Hui Zhang25
1.Introduction26
2.Model-Based Super-Resolution Reconstruction28
2.1.Forward Model28
2.2.Super-Resolution Reconstruction29
2.3.SRR Optimization Procedure30
3.Evaluation and Results31
3.1.Evaluation31
3.2.Results31
4.Discussion33
 References33
 A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imaging / Klaus H. Maier-Hein35
1.Introduction36
2.Methods37
2.1.MRI Acquisition37
2.2.Eddy Current and Head Motion Correction Schemes38
2.3.Registration Parameters38
2.4.Performance Metrics39
3.Results40
3.1.Registration Parameters40
3.2.Precision of Registration40
3.3.Tensor Fit Quality40
3.4.Deviation in Fractional Anisotropy42
4.Discussion42
 References43
pt. II Diffusion MRI Modeling 
 The Diffusion Dictionary in the Human Brain Is Short: Rotation Invariant Learning of Basis Functions / Valerij G. Kiselev47
1.Introduction47
2.Method49
2.1.Representation of Basis Functions50
2.2.Implementation and Optimization50
3.Experiments51
4.Conclusion54
 References55
 Diffusion Propagator Estimation Using Radial Basis Functions / C.-F. Westin57
1.Introduction58
2.Our Contributions58
3.Data Representation Using Radial Basis Functions (RBF)59
3.1.Application to Diffusion MRI60
3.2.Estimating the ADP with Radial Basis Functions60
3.3.Computing the Orientation Distribution Function (ODF)62
3.4.Estimation Procedure62
4.Experiments63
4.1.In-Vivo Results63
5.Conclusion65
 References66
 A Framework for ODF Inference by Using Fiber Tract Adaptive MPG Selection / Yoshitaka Masutani67
1.Introduction67
1.1.Background67
1.2.Problem Statement and Objective68
2.Proposed Method70
2.1.Interpolation with SRBF70
2.2.Optimization70
2.3.Preprocessing72
3.Experimental Method72
3.1.Simulation Experiments73
3.2.Phantom Experiments74
3.3.Clinical Image Experiments75
4.Experimental Results75
4.1.Simulation Experiments75
4.2.Phantom Experiments77
4.3.Clinical Image Experiments78
5.Conclusion78
 References78
 Non-negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation / Pew-Thian Yap81
1.Introduction82
2.Background on SD Methods83
3.Non-negative Spherical Deconvolution (NNSD)85
4.Experiments87
4.1.High-Resolution Data90
5.Discussion and Conclusion91
 References92
pt. III Tractography 
 A Novel Riemannian Metric for Geodesic Tractography in DTI / Luc Florack97
1.Introduction97
2.Theory98
2.1.Preliminaries98
2.2.Riemannian Framework Revisited99
3.Experiments100
3.1.Method100
3.2.Results101
4.Conclusion and Discussion102
 References103
 Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms / Klaus H. Maier-Hein105
1.Introduction106
2.Materials and Methods107
2.1.Fiber Definition107
2.2.Signal Generation107
2.3.Artifact Simulation108
2.4.Simulations and Experiments109
3.Results110
4.Discussion and Conclusion112
 References112
 Choosing a Tractography Algorithm: On the Effects of Measurement Noise / Gerik Scheuermann115
1.Introduction115
2.Material and Methods117
2.1.Data Acquisition and Subjects117
2.2.Creation of the Reference Dataset118
2.3.Choice of Algorithms and Parameters119
2.4.Evaluating Tractography Robustness120
3.Results121
4.Discussion124
5.Conclusion127
 References127
 Uncertainty in Tractography via Tract Confidence Regions / Ghassan Hamarneh129
1.Introduction129
2.Method131
2.1.Path Confidence Regions131
2.2.Confidence Region Visualization132
3.Results133
4.Conclusions137
 References137
 Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrap / Dinggang Shen139
1.Introduction140
2.Approach141
2.1.Non-local Estimation as Non-parametric Kernel Regression141
2.2.Wild Non-local Bootstrap (W-NLB)142
2.3.Kernel and Bandwidth143
3.Experimental Results143
3.1.In Silico143
3.2.In Vivo145
4.Conclusion146
 References147
pt. IV Group Studies and Statistical Analysis 
 Groupwise Deformable Registration of Fiber Track Sets Using Track Orientation Distributions / Paul Suetens151
1.Introduction151
2.Methods152
2.1.Track Orientation Distribution152
2.2.TOD Registration and Reorientation153
3.Experiments and Results154
3.1.Data, Processing and Fiber Tracking154
3.2.Experiment 1: Synthetically Deformed Single Subject155
3.3.Experiment 2: Multiple Subjects156
4.Discussion158
5.Conclusion and Future Work159
 References160
 Groupwise Registration for Correcting Subject Motion and Eddy Current Distortions in Diffusion MRI Using a PCA Based Dissimilarity Metric / S. Klein163
1.Introduction164
2.Method164
2.1.Groupwise Registration Framework164
2.2.Dissimilarity Metric165
2.3.Metric Derivative166
2.4.Transformation Model167
2.5.Optimization168
2.6.Groupwise Approaches Proposed by Others168
2.7.Implementation168
3.Experiments and Results169
3.1.Synthetic Data169
3.2.Real Diffusion Weighted Data171
4.Conclusions172
 References173
 Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis / Hayit Greenspan175
1.Introduction175
2.Methods177
3.Results182
4.Discussion and Future Work184
 References184
 Statistical Analysis of White Matter Integrity for the Clinical Study of Typical Specific Language Impairment in Children / Christian Barillot187
1.Introduction188
2.Material and Methods189
2.1.Participants189
2.2.Data Acquisition189
2.3.Processing Pipeline190
3.Results191
3.1.ROI-Based Analysis191
3.2.Tractography-Based Analysis192
4.Discussion and Conclusion192
 References194
pt. V Brain Connectivity 
 Disrupted Brain Connectivity in Alzheimer's Disease: Effects of Network Thresholding / Paul M. Thompson199
1.Introduction200
2.Methods201
2.1.Subjects and Diffusion Imaging of the Brain201
2.2.Image Analysis201
2.3.Brain Network Measures202
3.Results204
4.Discussion206
 References207
 Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla / Paul M. Thompson209
1.Introduction210
2.Methods211
2.1.Subject Demographic and Image Acquisition211
2.2.Image Preprocessing and Registration211
2.3.Brain Connectivity Computation212
2.4.Rich Club Analyses212
3.Results214
3.1.Rich Club Coefficient (φ(k) and φnorm(k))214
3.2.Rich Club Organization: Young Cohort Results214
3.3.Rich Club Organization: AD/HC Comparison215
4.Discussion216
5.Conclusion217
 References217
 Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data / Xenophon Papademetris219
1.Introduction219
2.Theory221
3.Functional Connectivity Estimation223
4.Results224
5.Discussion226
 References226
 Power Estimates for Voxel-Based Genetic Association Studies Using Diffusion Imaging / Paul M. Thompson230
1.Introduction230
2.Methods232
2.1.Heritability and Power Estimates232
2.2.HWE, MAF, and Multiple Comparisons Correction233
2.3.Accounting for Uncertainties in Genotype Frequency234
2.4.Voxelwise GWAS of the ADNI2 Dataset235
3.Results235
3.1.Voxels with Power > 0.8 as Functions of N, MAFc, HWEc235
3.2.Voxelwise GWAS in the ADNI2 Dataset235
4.Discussion236
 References237
 Global Changes in the Connectome in Autism Spectrum Disorders / Klaus H. Maier-Hein239
1.Introduction240
2.Materials and Methods240
3.Results242
4.Discussion246
 References246
 Index253
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Description 1 online resource (xiv, 255 pages) : illustrations (some color)
Series Mathematics and Visualization, 1612-3786
Mathematics and visualization. 1612-3786
Contents Part I Acquisition of Diffusion MRI: Comparing Simultaneous Multi-slice Diffusion Acquisitions by Y. Rathi et al -- Effect of Data Acquisition and Analysis Method on Fiber Orientation Estimation in Diffusion MRI by B. Wilkins et al -- Model-based super-resolution of diffusion MRI by A. Tobisch et al -- A quantitative evaluation of errors induced by reduced field-of-view in diffusion tensor imaging by J. Hering et al -- Part II Diffusion MRI Modeling: The Diffusion Dictionary in the Human Brain is Short: Rotation Invariant Learning of Basis Functions by M. Reisert et al -- Diffusion Propagator Estimation Using Radial Basis Functions by Y. Rathi et al -- A Framework for ODF Inference by using Fiber Tract Adaptive MPG Selection by H. Hontani et al -- Non-Negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation by J. Cheng et al -- Part III Tractography: A Novel Riemannian Metric for Geodesic Tractography in DTI by A. Fuster et al -- Fiberfox: An extensible system for generating realistic white matter software phantoms by P.F. Neher et al -- Choosing a Tractography Algorithm: On the Effects of Measurement Noise by A. Reichenbach et al -- Uncertainty in Tractography via Tract Confidence Regions by C.J. Brown et al -- Estimating Uncertainty in White Matter Tractography Using Wild Non-Local Bootstrap by P -- T. Yap et al -- Part IV Group Studies and Statistical Analysis: Groupwise Deformable Registration of Fiber Track Sets using Track Orientation Distributions by D. Christiaens et al -- Groupwise registration for correcting subject motion and eddy current distortions in diffusion MRI using a PCA based dissimilarity metric by W. Huizinga et al -- Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis by G. Zimmerman-Moreno et al -- Statistical Analysis of White Matter Integrity for the Clinical Study of Typical Specific Language Impairment in Children by E. Vallée et al -- Part V Brain Connectivity: Disrupted Brain Connectivity in Alzheimer's Disease: Effects of Network Thresholding: M. Daianu et al -- Rich Club Analysis of Structural Brain Connectivity at 7 Tesla versus 3 Tesla: E. Dennis et al -- Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data: D. Scheinost et al -- Power Estimates for Voxel-Based Genetic Association Studies using Diffusion Imaging: N. Jahanshad et al -- Global changes in the connectome in autism spectrum diseases: C. Jonas Goch et al
Summary 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
Bibliography Includes bibliographical references and index
Subject Diffusion magnetic resonance imaging -- Mathematical models -- Congresses.
Diffusion magnetic resonance imaging -- Data processing -- Congresses.
Brain -- Imaging -- Mathematical models -- Congresses.
Medical informatics -- Congresses.
Brain.
Diffusion Magnetic Resonance Imaging.
Mathematics.
Genre/Form Conference papers and proceedings.
Congress.
Conference papers and proceedings.
Form Electronic book
Author Schultz, Thomas, editor
Mathematical Methods for Brain Connectivity Workshop (2013 : Nagoya-shi, Japan)
International Conference on Medical Image Computing and Computer-Assisted Intervention (16th : 2013 : Nagoya-shi, Japan)
ISBN 3319024744
3319024752 (electronic bk.)
9783319024745
9783319024752 (electronic bk.)