Diffusion microscopist simulator: a general Monte Carlo simulation system for diffusion magnetic resonance imaging.

This article describes the development and application of an integrated, generalized, and efficient Monte Carlo simulation system for diffusion magnetic resonance imaging (dMRI), named Diffusion Microscopist Simulator (DMS). DMS comprises a random walk Monte Carlo simulator and an MR image synthesiz...

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Autores principales: Chun-Hung Yeh, Benoît Schmitt, Denis Le Bihan, Jing-Rebecca Li-Schlittgen, Ching-Po Lin, Cyril Poupon
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
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Acceso en línea:https://doaj.org/article/9e427a1f2a514c3d81ebbd5a7f2c6599
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spelling oai:doaj.org-article:9e427a1f2a514c3d81ebbd5a7f2c65992021-11-18T08:51:38ZDiffusion microscopist simulator: a general Monte Carlo simulation system for diffusion magnetic resonance imaging.1932-620310.1371/journal.pone.0076626https://doaj.org/article/9e427a1f2a514c3d81ebbd5a7f2c65992013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24130783/?tool=EBIhttps://doaj.org/toc/1932-6203This article describes the development and application of an integrated, generalized, and efficient Monte Carlo simulation system for diffusion magnetic resonance imaging (dMRI), named Diffusion Microscopist Simulator (DMS). DMS comprises a random walk Monte Carlo simulator and an MR image synthesizer. The former has the capacity to perform large-scale simulations of Brownian dynamics in the virtual environments of neural tissues at various levels of complexity, and the latter is flexible enough to synthesize dMRI datasets from a variety of simulated MRI pulse sequences. The aims of DMS are to give insights into the link between the fundamental diffusion process in biological tissues and the features observed in dMRI, as well as to provide appropriate ground-truth information for the development, optimization, and validation of dMRI acquisition schemes for different applications. The validity, efficiency, and potential applications of DMS are evaluated through four benchmark experiments, including the simulated dMRI of white matter fibers, the multiple scattering diffusion imaging, the biophysical modeling of polar cell membranes, and the high angular resolution diffusion imaging and fiber tractography of complex fiber configurations. We expect that this novel software tool would be substantially advantageous to clarify the interrelationship between dMRI and the microscopic characteristics of brain tissues, and to advance the biophysical modeling and the dMRI methodologies.Chun-Hung YehBenoît SchmittDenis Le BihanJing-Rebecca Li-SchlittgenChing-Po LinCyril PouponPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 10, p e76626 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Chun-Hung Yeh
Benoît Schmitt
Denis Le Bihan
Jing-Rebecca Li-Schlittgen
Ching-Po Lin
Cyril Poupon
Diffusion microscopist simulator: a general Monte Carlo simulation system for diffusion magnetic resonance imaging.
description This article describes the development and application of an integrated, generalized, and efficient Monte Carlo simulation system for diffusion magnetic resonance imaging (dMRI), named Diffusion Microscopist Simulator (DMS). DMS comprises a random walk Monte Carlo simulator and an MR image synthesizer. The former has the capacity to perform large-scale simulations of Brownian dynamics in the virtual environments of neural tissues at various levels of complexity, and the latter is flexible enough to synthesize dMRI datasets from a variety of simulated MRI pulse sequences. The aims of DMS are to give insights into the link between the fundamental diffusion process in biological tissues and the features observed in dMRI, as well as to provide appropriate ground-truth information for the development, optimization, and validation of dMRI acquisition schemes for different applications. The validity, efficiency, and potential applications of DMS are evaluated through four benchmark experiments, including the simulated dMRI of white matter fibers, the multiple scattering diffusion imaging, the biophysical modeling of polar cell membranes, and the high angular resolution diffusion imaging and fiber tractography of complex fiber configurations. We expect that this novel software tool would be substantially advantageous to clarify the interrelationship between dMRI and the microscopic characteristics of brain tissues, and to advance the biophysical modeling and the dMRI methodologies.
format article
author Chun-Hung Yeh
Benoît Schmitt
Denis Le Bihan
Jing-Rebecca Li-Schlittgen
Ching-Po Lin
Cyril Poupon
author_facet Chun-Hung Yeh
Benoît Schmitt
Denis Le Bihan
Jing-Rebecca Li-Schlittgen
Ching-Po Lin
Cyril Poupon
author_sort Chun-Hung Yeh
title Diffusion microscopist simulator: a general Monte Carlo simulation system for diffusion magnetic resonance imaging.
title_short Diffusion microscopist simulator: a general Monte Carlo simulation system for diffusion magnetic resonance imaging.
title_full Diffusion microscopist simulator: a general Monte Carlo simulation system for diffusion magnetic resonance imaging.
title_fullStr Diffusion microscopist simulator: a general Monte Carlo simulation system for diffusion magnetic resonance imaging.
title_full_unstemmed Diffusion microscopist simulator: a general Monte Carlo simulation system for diffusion magnetic resonance imaging.
title_sort diffusion microscopist simulator: a general monte carlo simulation system for diffusion magnetic resonance imaging.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/9e427a1f2a514c3d81ebbd5a7f2c6599
work_keys_str_mv AT chunhungyeh diffusionmicroscopistsimulatorageneralmontecarlosimulationsystemfordiffusionmagneticresonanceimaging
AT benoitschmitt diffusionmicroscopistsimulatorageneralmontecarlosimulationsystemfordiffusionmagneticresonanceimaging
AT denislebihan diffusionmicroscopistsimulatorageneralmontecarlosimulationsystemfordiffusionmagneticresonanceimaging
AT jingrebeccalischlittgen diffusionmicroscopistsimulatorageneralmontecarlosimulationsystemfordiffusionmagneticresonanceimaging
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