Abstract #0816

Saturation Recovery Chemical Shift-Encoded T1 Mapping in the Liver

Garrett C. Fullerton^1,2, Daiki Tamada¹, Yavuz Muslu^1,3,4, Diego Hernando^1,2,3,5, and Scott B. Reeder^1,2,3,6,7

¹Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, ²Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, ³Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, ⁴GE HealthCare, Waukesha, WI, United States, ⁵Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States, ⁶Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, ⁷Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Synopsis

Keywords: Quantitative Imaging, Liver

Motivation: 2D saturation recovery-based T1 mapping methods offer a promising approach to rapid confounder-corrected liver T1 mapping but may suffer from poor SNR performance and high variability.

Goal(s): Propose and develop an optimized 2D saturation recovery chemical shift-encoded (SR-CSE) water-specific liver T1 mapping to improve measurement precision and reduce bias.

Approach: Using validated signal models of saturation-prepared fat/water mixtures, mathematically optimize acquisition timing parameters and flip angle modulation schemes. Optimized acquisitions in a phantom and in vivo were obtained and validated against reference acquisitions.

Results: The optimized acquisition scheme demonstrates improved precision in water-specific T1 mapping, free from bias relative to reference T1 measurements.

Impact: The proposed optimized acquisition strategy improves the noise performance of 2D confounder-corrected liver T1 mapping, enabling robust liver coverage (9 slices) in a 20-second breath-hold. This improves the clinical viability of confounder-corrected T1 mapping for assessing liver disease.

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