Computational Diffusion MRI: 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

Preface
Organization
Contents
Acquisition
On the b-value Derivation for diffusion-weighted Double-Echo Steady-State (dwDESS) Magnetic Resonance Imaging
	1 Introduction
	2 Theory
	3 Methods
	4 Results
	5 Discussion and Conclusion
	References
Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom
	1 Introduction
	2 Methodology
		2.1 Materials
		2.2 Data Processing
	3 Results
		3.1 Scalar Maps
		3.2 Fiber Orientation Errors
	4 Conclusion and Discussion
	References
Microstructure Modelling
A Microstructure Model from Conventional Diffusion MRI of Meningiomas: Impact of Noise and Error Minimization
	1 Introduction
	2 Materials and Methods
		2.1 DW–MRI Acquisition
		2.2 Numerical DW–MRI Simulations
		2.3 From ADC to Microstructure
		2.4 Error Correction Procedure
		2.5 Noise
		2.6 Sensitivity and Accuracy Analyses and Application to Patients\' Data
	3 Results
		3.1 Noise Free: Sensitivity and Accuracy
		3.2 With Noise: Sensitivity and Accuracy
		3.3 Patient Data
	4 Discussion and Conclusion
	References
Generalised Hierarchical Bayesian Microstructure Modelling for Diffusion MRI
	1 Introduction
	2 Methods
		2.1 General Bayesian Microstructure model
		2.2 Parameter Transforms
		2.3 Bayesian Shrinkage Priors
		2.4 Posterior Distributions
		2.5 MCMC algorithm
		2.6 Models
		2.7 Algorithm Implementation
		2.8 Data
	3 Results
	4 Discussion and Conclusions
	References
Brain Tissue Microstructure Characterization Using dMRI Based Autoencoder Neural-Networks
	1 Introduction
	2 Materials and Methods
		2.1 Rotation-Invariant Features of the dMRI Signal
		2.2 In-Vivo Dataset
		2.3 Autoencoder Design
	3 Results and Discussion
	4 Conclusions
	References
Synthesizing VERDICT Maps from Standard DWI Data Using GANs
	1 Introduction
	2 Methods
		2.1 Datasets
		2.2 Proposed Model
		2.3 Network Architecture
		2.4 Implementation Details
	3 Results
	4 Discussion
	5 Conclusion
	References
Tractography and Connectivity
A Novel Algorithm for Region-to-Region Tractography in Diffusion Tensor Imaging
	1 Introduction
	2 Theory and Algorithm
		2.1 Iterative Refinement Algorithm
	3 Experiments
	4 Discussion
	References
Fast Tractography Streamline Search
	1 Introduction
	2 Methods
		2.1 Distance Between Two Points (Vector Norm)
		2.2 Distance Between Two Streamlines
		2.3 Sum of Norm Properties
		2.4 Streamlines Representation and Simplification
		2.5 Proposed Hierarchical Streamline Representation
	3 Experiments
	4 Results
	5 Discussion
	6 Conclusion
	A  Sum of Norm Properties with Detailed Equations
	B  Streamline Search Comparison
	References
Alignment of Tractography Streamlines Using Deformation Transfer via Parallel Transport
	1 Introduction
		1.1 Contributions of the Paper
	2 Methods
		2.1 Preliminary Background
		2.2 Fiber Tract Representation
		2.3 Approach to the Registration Problem
		2.4 Fiber Bundle Distance
	3 Results
		3.1 Data
		3.2 Within-Tract Fiber Alignment to the Kärcher mean
		3.3 Soft-Alignment of Fiber-Tracts
		3.4 Tract Point-Set Similarity
	4 Discussion
	References
Applications and Visualisation
Diffusion MRI Automated Region of Interest Analysis in Standard Atlas Space versus the Individual\'s Native Space
	1 Introduction
	2 Methods
		2.1 Participants and Image Acquisition
		2.2 DTI Processing
		2.3 TBSS Analysis
		2.4 XTRACT Processing and Analysis
		2.5 Analysis of Regional Values
	3 Results
	4 Discussion
	5 Conclusion
	References
Bundle Geodesic Convolutional Neural Network for DWI Segmentation from Single Scan Learning
	1 Introduction
	2 Bundle Geodesic Convolutional Neural Network
		2.1 Layer Definitions
		2.2 Discretisation and Implementation in the Case M= S2
	3 Experiments and Results
		3.1 Experimental Setup
		3.2 Results
	4 Discussion and Conclusion
	References
Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI
	1 Introduction
	2 Methods
		2.1 DMRI Acquisition and Lesion Segmentation
		2.2 Preprocessing Pipelines
		2.3 Lesion Normalization
		2.4 Feature Selection and Classifiers
		2.5 Evaluation Metrics and Experimental Details
	3 Results and Discussion
	4 Conclusion
	References
Accelerating Geometry-Based Spherical Harmonics Glyphs Rendering for dMRI Using Modern OpenGL
	1 Introduction
	2 Methods
		2.1 From SH Coefficients to Glyphs
		2.2 Spherical Mesh
		2.3 Lighting
		2.4 Compute Shaders
		2.5 Arrays Indexing
		2.6 Implementation
		2.7 Experiments
	3 Results and Discussion
	4 Conclusion
	References
DiSCo Challenge - Invited Contribution
The Microstructural Features of the Diffusion-Simulated Connectivity (DiSCo) Dataset
	1 Introduction
	2 Methods
		2.1 Volume Fraction Estimation
		2.2 Fibers Information Maps
		2.3 Peaks Extraction
		2.4 Tensor-Based Metrics
	3 Results
		3.1 Compartmental Volume Fraction
		3.2 FODs and Number of Streamlines as a Function of Resolution
		3.3 MD and FA Maps
	4 Discussion and Conclusion
	References
Author Index