Abstract #2626

Quantifying hepatic fibrosis using a 3D radial golden angle stack-of stars acquisition and a dual-input two compartment model

Abhishek Pandey^1,2, Manojkumar Saranathan¹, Wyatt D Unger¹, Mahesh Bharath Keerthivasan^1,2, Jean-Philippe Galons¹, Diego R Martin¹, Ali Bilgin^1,2,3, Kevin Johnson⁴, and Maria I Altbach¹

¹Medical Imaging, University of Arizona, Tucson, AZ, United States, ²Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, ³Biomedical Engineering, University of Arizona, Tucson, AZ, United States, ⁴Siemens Medical Solutions USA, Inc, Tucson, AZ, United States

Chronic liver disease (CLD) is known to affect 3.9 million of Americans. Collagen deposition in CLD affects the perfusion of the liver parenchyma and dynamic contrast enhanced MRI (DCE-MRI) can be used for the non-invasive diagnosis of CLD. Here we present a liver perfusion technique based on a free-breathing 3D radial golden-angle stack-of-stars acquisition along with a compressed sensing reconstruction to generate DCE data with 4-sec temporal resolution. Perfusion parameters are estimated by fitting the DCE data to a dual-input two compartment pharmacokinetic model and used to evaluate hepatic fibrosis in CLD.

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