Simulation of water diffusion through a simple virtual cardiac cell model: optimization of Monte Carlo parameters and observation by simulated MRI

Yuhan Jing, Carole Frindel, Isabelle E. Magnin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes a two fold strategy. First, we create a Monte-Carlo water diffusion simulator able to generate realistic synthetic diffusion data. Second, we observe this synthetical diffusion by simulating a virtual magnetic resonance diffusion imaging device (spin echo sequence). We show how to adequately run Monte-Carlo simulations in a cylindrical core (similar to a cardiac cell shape model) and we optimize the virtual imaging simulated parameters. We compare the virtual diffusion magnetic resonance signal obtained for various values of the parameters to the corresponding analytical models. We give a first analysis of the deviation results when usual clinical parameters are used.

Original languageEnglish
Title of host publicationICSP 2020 - 2020 IEEE 15th International Conference on Signal Processing Proceedings
EditorsYuan Baozong, Ruan Qiuqi, Zhao Yao, An Gaoyun
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages527-532
Number of pages6
ISBN (Electronic)9781728144795
DOIs
Publication statusPublished - 2020 Dec 6
Externally publishedYes
Event15th IEEE International Conference on Signal Processing, ICSP 2020 - Virtual, Beijing, China
Duration: 2020 Dec 62020 Dec 9

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume2020-December

Conference

Conference15th IEEE International Conference on Signal Processing, ICSP 2020
Country/TerritoryChina
CityVirtual, Beijing
Period20/12/620/12/9

Keywords

  • Clinical setting
  • Diffusion magnetic resonance imaging
  • Monte-Carlo simulation
  • Parameter choice

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Computer Science Applications

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