Abstract #0586
FlowSim: a blood flow simulator for histology-informed diffusion MRI micro-vasculature mapping in cancer
Anna Voronova1,2, Athanasios Grigoriou1,2, Kinga Bernatowicz1, Sara Simonetti3,4, Garazi Serna3, Núria Roson5,6, Manuel Escobar5,6, Maria Vieito7,8, Paolo Nuciforo3, Rodrigo Toledo9, Elena Garralda10, Roser Sala-Llonch11,12, Marco Palombo13,14, Raquel Perez-Lopez1, and Francesco Grussu1
1Radiomics Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain, 2Department of Biomedicine, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain, 3Molecular Oncology Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain, 4Prostate Cancer Translational Research Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain, 5Institut de Diagnòstic per la Imatge (IDI), Barcelona, Spain, 6Department of Radiology, Hospital Universitari Vall d’Hebron, Barcelona, Spain, 7GU, Sarcoma and Neuroncology Unit, Hospital Universitari Vall d’Hebron, Barcelona, Spain, 8Drug Development Unit, Vall d’Hebron Institute of Oncology, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 9Biomarkers and Clonal dynamics group, Vall d’Hebron Institute of Oncology, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 10Early Clinical Drug Development Group, Vall d’Hebron Institute of Oncology, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 11Department of Biomedicine, Faculty of Medicine, Institute of Neurosciences, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain, 12Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Barcelona, Spain, 13Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 14School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom
Synopsis
Keywords: Simulation/Validation, Perfusion, cancer, IVIM, microvasculature
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.
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