Invention Grant
US08638096B2 Method of autocalibrating parallel imaging interpolation from arbitrary K-space sampling with noise correlations weighted to reduce noise of reconstructed images
有权
从任意K空间采样中自动校准平行成像插值的方法，加权噪声相关，以减少重构图像的噪声
- Patent Title: Method of autocalibrating parallel imaging interpolation from arbitrary K-space sampling with noise correlations weighted to reduce noise of reconstructed images
- Patent Title (中): 从任意K空间采样中自动校准平行成像插值的方法，加权噪声相关，以减少重构图像的噪声
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Application No.: US12907764Application Date: 2010-10-19
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Publication No.: US08638096B2Publication Date: 2014-01-28
- Inventor: Tao Zhang , Michael Lustig , John M. Pauly , Shreyas S. Vasanawala
- Applicant: Tao Zhang , Michael Lustig , John M. Pauly , Shreyas S. Vasanawala
- Applicant Address: US CA Palo Alto
- Assignee: The Board of Trustees of the Leland Stanford Junior University
- Current Assignee: The Board of Trustees of the Leland Stanford Junior University
- Current Assignee Address: US CA Palo Alto
- Agency: Beyer Law Group LLP
- Main IPC: G01R33/56
- IPC: G01R33/56
Abstract:
A computer implemented method for magnetic resonance imaging is provided. A 3D Fourier Transform acquisition is performed with two phase encode directions, wherein phase code locations are chosen so that a total number of phase encodes is less than a Nyquist rate, and closest distances between phase encode locations takes on a multiplicity of values. Readout signals are received through a multi-channel array of a plurality of receivers. An autocalibrating parallel imaging interpolation is performed and a noise correlation is generated. The noise correlation is used to weight a data consistency term of a compressed sensing iterative reconstruction. An image is created from the autocalibration parallel imaging using the weighted data consistency term. The image is displayed.
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