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Abstract #1107

Respiratory triggered abdominal T2-weighted imaging for concurrent T2water mapping and PDFF quantification using RADGRASE

Brian P Toner1, Fei Han2, Simon Arberet3, Eze Ahanonu4, Kevin Johnson5,6, Ute Goerke7, Lei Jiang8, Shu Zhang9, Ryan K Akhbari10, Geoff Block10, Diego R Martin9, Vibhas Deshpande11, Mariappan Nadar3, Ali Bilgin1,4,5,12, and Maria Altbach5,6,12
1Program in Applied Mathematics, The University of Arizona, Tucson, AZ, United States, 2Siemens Healthineers, Los Angeles, CA, United States, 3Digital Technology & Innovation, Siemens Healthineers, Princeton, NJ, United States, 4Electrical and Computer Engineering, The University of Arizona, Tucson, AZ, United States, 5Radiology, The University of Arizona, Tucson, AZ, United States, 6Medical Imaging, The University of Arizona, Tucson, AZ, United States, 7Siemens Healthineers, Tucson, AZ, United States, 8Siemens Healthineers, Indianapolis, IN, United States, 9Radiology, Houston Methodist Research Institute, Houston, TX, United States, 10Boyer Liver Institute, The University of Arizona, Tucson, AZ, United States, 11Siemens Healthineers, Austin, TX, United States, 12Biomedical Engineering, The University of Arizona, Tucson, AZ, United States

Synopsis

Keywords: Quantitative Imaging, Quantitative Imaging

Motivation: Abdominal T2-weighted imaging, T2water mapping, and PDFF quantification are important biomarkers for subjects with fatty liver disease. Abdominal acquisitions are inefficient due to respiratory motion.

Goal(s): To develop a respiratory triggered approach to obtain full abdominal fat-suppressed T2-weighted images, T2water, and PDFF simultaneously in a clinically feasible scan-time.

Approach: Combining RADGRASE with respiratory triggering and deep learning reconstruction to obtain anatomical images, T2water maps, and PDFF maps from highly accelerated free-breathing acquisitions in human subjects.

Results: RADGRASE provided high quality anatomical images and accurate T2water and PDFF measurements compared to reference values. Acceleration via deep learning maintained image quality and parameter map accuracy.

Impact: Abdominal T2-weighted imaging, T2water, and PDFF quantification are important biomarkers for subjects with fatty liver disease. RADGRASE with respiratory triggering provided accurate measurements of these biomarkers through the whole abdomen in an accelerated (~ 3 min) free-breathing acquisition.

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Abstract

Keywords