Histology-informed microstructural diffusion simulations for MRI cancer characterisation-the Histo-μSim framework.

ABSTRACT: Diffusion Magnetic Resonance Imaging (dMRI) simulations in geometries mimicking the microscopic complexity of human tissues enable the development of innovative biomarkers with unprecedented fidelity to histology. Simulation-informed dMRI has traditionally focussed on brain imaging, and it has neglected other applications, as for example body cancer imaging, where new non-invasive biomarkers are still sought. This article fills this gap by introducing a Monte Carlo diffusion simulation framework informed by histology, for enhanced body dMR microstructural imaging: the Histo-μSim approach. We generate dictionaries of synthetic dMRI signals with coupled tissue properties from virtual cancer environments, reconstructed from hematoxylin-eosin stains of human liver biopsies. These enable the da

SUBMITTER: Grigoriou A 

PROVIDER: S-EPMC12657972 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature