Robust Monte-Carlo Simulations in Diffusion-MRI: Effect of the Substrate Complexity and Parameter Choice on the Reproducibility of Results

Robust Monte-Carlo Simulations in Diffusion-MRI: Effect of the Substrate Complexity and Parameter Choice on the Reproducibility of Results

Monte-Carlo Diffusion Simulations (MCDS) have been used extensively as a ground truth tool for the validation of microstructure models for Diffusion-Weighted MRI. However, methodological pitfalls in the design of the biomimicking geometrical configurations and the simulation parameters can lead to a...

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Bibliographic Details
Main Authors: Jonathan Rafael-Patino, David Romascano, Alonso Ramirez-Manzanares, Erick Jorge Canales-Rodríguez, Gabriel Girard, Jean-Philippe Thiran
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Neuroinformatics
Subjects:
diffusion
MRI
Monte-Carlo
simulations
microstructure
white matter
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2020.00008/full

Internet

https://www.frontiersin.org/article/10.3389/fninf.2020.00008/full

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