Invention Grant
- Patent Title: Eigen-vector approach for coil sensitivity maps estimation
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Application No.: US14038958Application Date: 2013-09-27
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Publication No.: US10914798B2Publication Date: 2021-02-09
- Inventor: Jun Liu , Hui Xue , Marcel Dominik Nickel , Ti-chiun Chang , Mariappan S. Nadar , Alban Lefebvre , Edgar Mueller , Qiu Wang , Zhili Yang , Nirmal Janardhanan , Michael Zenge
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G01R27/00
- IPC: G01R27/00 ; G01D18/00 ; G01P21/00 ; G01R35/00 ; G01R33/24 ; G01R33/561

Abstract:
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 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 ) ) .
Public/Granted literature
- US20140088899A1 EIGEN-VECTOR APPROACH FOR COIL SENSITIVITY MAPS ESTIMATION Public/Granted day:2014-03-27
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