Abstract #1276

A Hybrid Multi-Echo Radial Look-Locker (hME-rLL) multi-slice framework for efficient liver coverage in joint T1-water, PDFF, and R2* estimation

Eze Ahanonu¹, Ute Goerke², Brian Toner³, Kevin Johnson⁴, Ryan Akhbari⁵, Geoffrey Block⁵, Diego Martin⁶, Vibhas Deshpande⁷, Xiaodong Zhong⁸, Holden Wu⁸, Ali Bilgin^4,9,10, and Maria Altbach^4,9

¹Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, ²Siemens Healthineers, Tucson, AZ, United States, ³Applied Mathematics Program, University of Arizona, Tucson, AZ, United States, ⁴Department of Medical Imaging, The University of Arizona, Tucson, AZ, United States, ⁵Boyer Liver Institute, The University of Arizona, Tucson, AZ, United States, ⁶Department of Radiology, Houston Methodist, Houston, TX, United States, ⁷Siemens Healthineers, Austin, TX, United States, ⁸Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, ⁹Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, United States, ¹⁰Department of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ, United States

Synopsis

Keywords: Quantitative Imaging, Acquisition Methods

Motivation: Improving scanning efficiency for joint estimation of PDFF, R2*, and T1-water for comprehensive liver evaluation.

Goal(s): Implementation of an end-to-end framework for joint estimation of PDFF, R2*, and T1-water for the full liver.

Approach: Combining 2-echo and 12-echo acquisition with a single slice selective pulse sequence, and performing joint parameter estimation for PDFF, R2*, and T1-water. For multi-slice acquisition, an optimized slice interleaving is applied to increase sampling efficiency.

Results: Ahybrid multi-echo radial Look-Locker (hME-rLL) pulse sequence was implemented, and in vivo multi-slice acquisition was demonstrated to be consistent with available reference methods.

Impact: Joint estimation of T1-water, PDFF, and R2* would allow for more efficient evaluation of liver condition for diagnosis and monitor of patients with steatotic liver disease.

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