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An Eigenvector Method for Coil Sensitivity Map Estimation

A technology of coil sensitivity and map, applied in measurement devices, measurement of magnetic variables, instruments, etc., can solve problems such as the optimization criteria is not very clear, the mathematical derivation of the eigenvector method is not well understood, and there is a lack of efficient methods.

Active Publication Date: 2017-03-01
SIEMENS HEALTHCARE GMBH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, to the best of the inventors' knowledge: (1) the detailed mathematical derivation for the eigenvector method is not well understood; (2) the optimization criteria for computing the CSM is not very clear; (3) there is a lack of efficient methods

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  • An Eigenvector Method for Coil Sensitivity Map Estimation
  • An Eigenvector Method for Coil Sensitivity Map Estimation
  • An Eigenvector Method for Coil Sensitivity Map Estimation

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Embodiment Construction

[0034] Exemplary embodiments of the invention as described herein generally include systems and methods for an eigenvector approach to coil sensitivity map (CSM) estimation for two-dimensional MR images. Accordingly, while the present invention is capable of various modifications and alternative forms, specific embodiments thereof are illustrated by way of example in the drawings and will be described in detail herein. It should be understood, however, that there is no intent to limit the invention to the particular forms disclosed, but on the contrary, the invention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

[0035] The term "image" as used herein refers to multi-dimensional data composed of discrete image units such as pixels for two-dimensional images and voxels for three-dimensional images. The image may be, for example, a medical image of the subject acquired by computed tomography, magnetic resonanc...

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Abstract

The invention relates to a method for estimating a coil sensitivity map for a magnetic resonance (MR) image, comprising: a matrix A of sliders providing (61) three-dimensional images of coil calibration data; from A with τ principal singularities Calculate (62) the left singular matrix V|| in the singular value decomposition corresponding to the value; calculate (63) P=V||V||H; calculate (64) the matrix S, which is the inverse of the zero-filled matrix P Fourier transform; and solve (65) MHcr = (Sr)Hcr to obtain cr, where cr is the vector of coil sensitivity maps for all coils at all spatial positions r, and, .

Description

[0001] Cross references to related patent applications [0002] This application is a continuation of, and claims priority to, U.S. Patent Application 13 / 779,999, filed February 28, 2013, in the United States Patent and Trademark Office, which in turn claims priority to the following patent application: by Liu et al. U.S. Provisional Application 61 / 618,002, filed March 30, 2012, entitled "On the Eigen-Vector Approach for Coil SensitivityMaps Estimation," and Liu et al., filed November 8, 2012, entitled "Coil Sensitivity maps Estimation in Dynamic CMRI: Square Could be Better than Rectangular" U.S. Provisional Application 61 / 724,023, and "An Eigen-Vector Approach for Civil Sensitivity Estimation in the 3D Scenario" filed on November 8, 2012 by Liu et al. US Provisional Application 61 / 724,001, the contents of all of the above documents are hereby incorporated by reference in their entirety. technical field [0003] The present disclosure relates to a method for estimating coil ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R33/561
Inventor 刘俊薛晖M.D.尼克尔张迪钧M.S.纳达尔A.勒夫维尔E.米勒王求杨智丽N.贾纳得哈南M.曾格
Owner SIEMENS HEALTHCARE GMBH