Abstract #4568

Improved Saturation Recovery-based Water-Specific T1 (T1W) Mapping

Garrett Fullerton^1,2, Yavuz Muslu^1,3, Daiki Tamada¹, Jiayi Tang^1,2, Richard B Thompson^4,5, Diego Hernando^1,2,3,6, and Scott B Reeder^1,2,3,7,8

¹Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA, University of Wisconsin-Madison, Madison, WI, United States, ²Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA, University of Wisconsin-Madison, Madison, WI, United States, ³Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA, University of Wisconsin-Madison, Madison, WI, United States, ⁴Mazankowski Alberta Heart Institute, University of Alberta, Alberta, AB, Canada, ⁵Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, Alberta, AB, Canada, ⁶Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA, University of Wisconsin-Madison, Madison, WI, United States, ⁷Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA, University of Wisconsin-Madison, Madison, WI, United States, ⁸Department of Emergency Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA, University of Wisconsin-Madison, Madison, WI, United States

Synopsis

Keywords: Pulse Sequence Design, Quantitative Imaging

Motivation: T1 mapping is a promising biomarker of various chronic diseases, yet existing methods of T1 mapping suffer from high variability.

Goal(s): Improve the overall performance of water-specific T1 (T1_W) estimation with a rapid sequence for feasible implementation in body applications.

Approach: Design and implement a multi-echo chemical shift-encoded MRI sequence with an optimized preparation pulse, optimized flip angle-modulation readout scheme, centric encoding, and joint parameter estimation to improve the performance of T1_W estimation.

Results: We successfully implemented the proposed sequence on an MRI system and demonstrated its feasibility for T1_W mapping in the body.

Impact: The proposed approach to chemical shift-encoded T1 mapping improves the overall performance of T1W estimation in the presence of confounding factors. By showing robustness to confounding factors, this helps improve T1 mapping as a clinically viable diagnostic tool.

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