@inproceedings{4b775f3c8b0c4778ad59ce41c1c845a7,
title = "Simulation of water diffusion through a simple virtual cardiac cell model: optimization of Monte Carlo parameters and observation by simulated MRI",
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. ",
keywords = "Clinical setting, Diffusion magnetic resonance imaging, Monte-Carlo simulation, Parameter choice",
author = "Yuhan Jing and Carole Frindel and Magnin, {Isabelle E.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 15th IEEE International Conference on Signal Processing, ICSP 2020 ; Conference date: 06-12-2020 Through 09-12-2020",
year = "2020",
month = dec,
day = "6",
doi = "10.1109/ICSP48669.2020.9321051",
language = "English",
series = "International Conference on Signal Processing Proceedings, ICSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "527--532",
editor = "Yuan Baozong and Ruan Qiuqi and Zhao Yao and An Gaoyun",
booktitle = "ICSP 2020 - 2020 IEEE 15th International Conference on Signal Processing Proceedings",
}