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Abstract #2009

Optimization of acquisition schedules and correction of B0 and B1 field inhomogeneities in saturation transfer MR fingerprinting (ST-MRF)

Beomgu Kang1,2,3, Munendra Singh2, Hyunseok Seo1, HyunWook Park3, and Hye-Young Heo2
1Bionics Research Center, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seould, Korea, Republic of, 2Divison of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 3School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, Republic of

Synopsis

Keywords: CEST / APT / NOE, Acquisition Methods

Motivation: Saturation transfer MR fingerprinting (ST-MRF) is a novel quantitative molecular MRI method that enables estimation of free water, solute, and semisolid macromolecule parameters. However, the quantification accuracy is highly dependent on acquisition schedule.

Goal(s): To find an optimal acquisition schedule that improves scan efficiency and quantification accuracy

Approach: We develop a learning-based optimization framework for ST-MRF incorporated with two neural networks for ultrafast signal synthesis and tissue quantification. Additionally, correction for B0 and B1 inhomogeneities were implemented.

Results: Our results showed that the optimal ST-MRF schedule significantly outperformed other MRF acquisition schedules in terms of quantification accuracy, even with the severe field inhomogeneity.

Impact: The proposed optimal ST-MRF approach could provide accurate and reliable multi-tissue parameter maps from a single scan within clinical acceptable time, even in the presence of the severe B0 and B1 field inhomogeneities.

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