Eigen-vector approach for coil sensitivity maps estimation

A method for estimating a coil sensitivity map for a magnetic resonance (MR) image includes providing a matrix A of sliding blocks of a 3D image of coil calibration data, calculating a left singular matrix V from a singular value decomposition of A corresponding to τ leading singular values, calcula...

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Main Authors Nadar, Mariappan S, Xue, Hui, Mueller, Edgar, Liu, Jun, Nickel, Marcel Dominik, Chang, Ti-chiun, Lefebvre, Alban, Wang, Qiu, Zenge, Michael, Yang, Zhili, Janardhanan, Nirmal
Format Patent
LanguageEnglish
Published 09.02.2021
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Summary:A method for estimating a coil sensitivity map for a magnetic resonance (MR) image includes providing a matrix A of sliding blocks of a 3D image of coil calibration data, calculating a left singular matrix V from a singular value decomposition of A corresponding to τ leading singular values, calculating P=V V H, calculating a matrix S that is an inverse Fourier transform of a zero-padded matrix P, and solving MHcr=(Sr)Hcr for cr, where cr is a vector of coil sensitivity maps for all coils at spatial location r, and M = ( ( 1 1 1 0 0 0 0 0 0 )  ( 0 0 0 1 1 1 0 0 0 )     ( 0 0 0 0 0 0 1 1 1 ) ) .
Bibliography:Application Number: US201314038958