Abstract #0699

DR-HIGADOS: a new diffusion-relaxation framework for clinically feasible microstructural imaging of the liver

Francesco Grussu¹, Ignasi Barba², Kinga Bernatowicz¹, Irene Casanova-Salas³, Alba Escriche Villarroya⁴, Natalia Castro³, Emanuela Greco⁴, Juan Francisco Corral^5,6, Marta Vidorreta⁷, Manuel Escobar Amores^5,6, Núria Roson^5,6, Xavier Merino^5,6, Richard Mast^5,6, Nahúm Calvo‐Malvar^5,8, Joaquin Mateo³, Paolo Nuciforo⁹, María Abad⁴, Josep R. Garcia-Bennett⁸, and Raquel Perez-Lopez^1,6

¹Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, ²NMR Lab, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, ³Prostate Cancer Translational Research Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, ⁴Cellular Plasticity and Cancer Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, ⁵IDI (Institut de Diagnòstic per la Imatge), Catalonia, Spain, ⁶Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain, ⁷Siemens Healthineers, Madrid, Spain, ⁸Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain, ⁹Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain

Liver cancer is a leading cause of cancer-related death, and new quantitative MRI (qMRI) techniques are needed to inform treatment selection and monitor disease progression. We propose a new technique, Diffusion-Relaxation Hepatic Imaging via Generalisable Assessment of DiffusiOn Simulations (DR-HIGADOS), with the aim of improving sensitivity and biological specificity of liver qMRI. DR-HIGADOS is a diffusion-relaxation method that uses information from Monte Carlo simulations to map parameters of an extended intra-voxel incoherent motion model to microstructural indices (e.g. cell size, cellularity). DR-HIGADOS is demonstrated on multi-vendor clinical data, and its histological correlates are investigated on preclinical high-field scans.

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