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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 Corral5,6, Marta Vidorreta7, Manuel Escobar Amores5,6, Núria Roson5,6, Xavier Merino5,6, Richard Mast5,6, Nahúm Calvo‐Malvar5,8, Joaquin Mateo3, Paolo Nuciforo9, María Abad4, Josep R. Garcia-Bennett8, and Raquel Perez-Lopez1,6
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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