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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Detalles Bibliográficos
Autores principales: Rafael-Patino, Jonathan, Romascano, David, Ramirez-Manzanares, Alonso, Canales-Rodríguez, Erick Jorge, Girard, Gabriel, Thiran, Jean-Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076166/
https://www.ncbi.nlm.nih.gov/pubmed/32210781
http://dx.doi.org/10.3389/fninf.2020.00008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076166/
https://www.ncbi.nlm.nih.gov/pubmed/32210781
http://dx.doi.org/10.3389/fninf.2020.00008

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