FlowSim: a blood flow simulator for histology-informed diffusion MRI micro-vasculature mapping in cancer

Motivation: Open-source software for simulating diffusion MRI (dMRI) signals arising from micro-vascular perfusion is needed to inform the development of new techniques for non-invasive vascular characterization. Goal(s): To present FlowSim, a micro-vasculature perfusion dMRI signal simulator, demonstrating its utility for in vivo vascular property estimation. Approach: FlowSim estimates blood velocities in all segments of custom vascular networks. These are used to calculate spin trajectories in the presence of arbitrary diffusion-encoding gradients. Results: FlowSim synthesizes dMRI signals from realistic vascular networks reconstructed from histology. These can be used to inform the estimation of capillary blood velocity distributions in vivo, showcased herein in cancer. Impact: We present FlowSim, a simulator of diffusion MRI (dMRI) signals arising from micro-vasculature perfusion. FlowSim synthesizes dMRI signals from realistic vascular networks reconstructed from histology, and informs the estimation of new microvasculature metrics in vivo, needed, for example, in cancer.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/0586
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
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article

FlowSim: a blood flow simulator for histology-informed diffusion MRI micro-vasculature mapping in cancer

María Vieito, Kinga Bernatowicz, Núria Rosón, Raquel Pérez-López et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
MRI in cancer diagnosis
article

FlowSim: a blood flow simulator for histology-informed diffusion MRI micro-vasculature mapping in cancer

María Vieito, Kinga Bernatowicz, Núria Rosón, Raquel Pérez-López, Rodrigo Almeida Toledo, Francesco Grussu, Manuel Escobar, Roser Sala‐Llonch, Garazi Serna, Sara Simonetti, Elena Garralda, Marco Palombo, Paolo Giovanni Nuciforo, Athanasios Grigoriou, Anna Voronova
article en

Abstract

Motivation: Open-source software for simulating diffusion MRI (dMRI) signals arising from micro-vascular perfusion is needed to inform the development of new techniques for non-invasive vascular characterization. Goal(s): To present FlowSim, a micro-vasculature perfusion dMRI signal simulator, demonstrating its utility for in vivo vascular property estimation. Approach: FlowSim estimates blood velocities in all segments of custom vascular networks. These are used to calculate spin trajectories in the presence of arbitrary diffusion-encoding gradients. Results: FlowSim synthesizes dMRI signals from realistic vascular networks reconstructed from histology. These can be used to inform the estimation of capillary blood velocity distributions in vivo, showcased herein in cancer. Impact: We present FlowSim, a simulator of diffusion MRI (dMRI) signals arising from micro-vasculature perfusion. FlowSim synthesizes dMRI signals from realistic vascular networks reconstructed from histology, and informs the estimation of new microvasculature metrics in vivo, needed, for example, in cancer.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Good health and well-being
Openalex Percentile: Top 63%
MRI in cancer diagnosis
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