Abstract #1107

Hybrid-State Free Precession for Measuring Magnetic Resonance Relaxation Times in the Presence of B0 Inhomogeneities

Vladimir A. Kobzar¹, Carlos Fernandez-Granda², and Jakob Asslaender³

¹New York University Center for Data Science, New York University, New York, NY, United States, ²Courant Institute of Mathematical Sciences and New York University Center for Data Science, New York University, New York, NY, United States, ³Center for Biomedical Imaging, Dept. of Radiology, and Center for Advanced Imaging Innovation and Research, New York University, New York, NY, United States

Magnetic resonance fingerprinting is a methodology for the quantitative estimation of the relaxation times T_1,2. An important challenge is to make estimation robust to inhomogeneities of the main magnetic field B₀. Free precession sequences with smoothly varying parameters, such as balanced hybrid-state free precession (bHSFP) sequence, can be optimized for T_1,2-encoding performance. Previously, magnetic field deviations were assumed to be determined by a separate experiment. Here we develop a numerically optimized bHSFP sequence that takes into account variations in B₀ with the aim of mitigating bias due to B₀ inhomogeneities. Our numerical results indicate that this approach yields accurate T_1,2 estimates when B₀ inhomogeneities are unknown.

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