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 | , , , , , , , , , , |
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Format | Patent |
Language | English |
Published |
09.02.2021
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Subjects | |
Online Access | Get full text |
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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 ) ) . |
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Bibliography: | Application Number: US201314038958 |