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Abstract #5513

S-ESPIRiT: Estimation of Coil Sensitivity Maps from MR Spectroscopic Imaging Data Using ESPIRiT

Namgyun Lee1,2, Vincent Oltman Boer3, Esben Thade Petersen3, and Gyunggoo Cho1

1Korea Basic Science Institute, Daejeon, Korea, Republic of, 2University of Southern California, Los Angeles, CA, United States, 3Danish Research Centre for Magnetic Resonance (DRCMR)

Estimating a set of coil sensitivity maps that is consistent with the low-resolution SENSE model is challenging in SENSE spectroscopic imaging. Recently, ESPIRiT, an autocalibrating approach to estimate sensitivity maps for MR imaging, that combines both advantages of SENSE and GRAPPA has been developed. In this work, we propose a spectroscopic extension of ESPIRiT, referred to as S-ESPIRiT, to estimate sensitivity maps from Cartesian 2D spectroscopic k-space data. The proposed method was demonstrated using 2D spectroscopic imaging data of a brain metabolite phantom acquired with a semi-LASER pulse sequence and a 32-channel receive head coil on a 7T MRI scanner.

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