A Monte Carlo simulation framework for histology-informed diffusion MRI parameter estimation in cancer
Motivation: Analytical biophysical diffusion MRI (dMRI) models fail to capture the full complexity of diffusion processes. Goal(s): We propose a Monte Carlo (MC) simulation framework enabling the numerical implementation of biophysical models with unprecedented fidelity to histology. Approach: Our framework enables simulating diffusion within cancer environments reconstructed from histology. It provides paired examples of dMRI signals and histological properties, which can be used to build numerical microstructure parameter estimators. Results: Our approach enables more accurate estimation of key properties such as cell size compared to fitting of classical multi-compartment analytical models. Impact: We propose a Monte Carlo (MC) simulation framework enabling the implementation of biophysicalmodels with unprecedented fidelity to histology. The framework improves microstructure inference compared to standard analytical fitting, and may provide more robust biomarkers in diseases such ascancer.
Authors
- María Vieito (ORCID: https://orcid.org/0000-0001-7531-343X)
- Kinga Bernatowicz (ORCID: https://orcid.org/0000-0001-9166-1709)
- Núria Rosón (ORCID: https://orcid.org/0000-0001-6751-7491)
- Raquel Pérez-López (ORCID: https://orcid.org/0000-0002-9176-0130)
- Rodrigo Almeida Toledo (ORCID: https://orcid.org/0000-0003-3070-6795)
- Francesco Grussu (ORCID: https://orcid.org/0000-0002-0945-3909)
- Manuel Escobar (ORCID: https://orcid.org/0000-0002-3794-2224)
- Roser Sala‐Llonch (ORCID: https://orcid.org/0000-0003-3576-0475)
- Garazi Serna (ORCID: https://orcid.org/0000-0003-2666-0982)
- Sara Simonetti (ORCID: https://orcid.org/0000-0003-2406-030X)
- Elena Garralda (ORCID: https://orcid.org/0000-0002-4412-7842)
- Marco Palombo (ORCID: https://orcid.org/0000-0003-4892-7967)
- Paolo Giovanni Nuciforo (ORCID: https://orcid.org/0000-0003-1380-0990)
- Athanasios Grigoriou (ORCID: https://orcid.org/0000-0003-1826-8040)
- Anna Voronova (ORCID: https://orcid.org/0009-0006-9600-0436)
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/10.58530/2024/0124
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00