发明名称 System for accelerated magnetic resonance imaging using parallel coils
摘要 An MR imaging system uses multiple RF coils for acquiring corresponding multiple image data sets of a slice or volume of patient anatomy. An image data processor comprises at least one processing device conditioned for, deriving a first set of weights for weighted combination of k-space data of the multiple image data sets for generating a calibration data set comprising a subset of k-space data of composite image data representing the multiple image data sets. The image data processor uses the calibration data set in generating a first MR image data set, deriving the parameters of a probability distribution in response to the first set of weights and the first MR image data set and deriving a second set of weights and second MR image data set together using the probability distribution.
申请公布号 US9594141(B2) 申请公布日期 2017.03.14
申请号 US201213633908 申请日期 2012.10.03
申请人 National Institutes of Health (NIH), U.S. Dept. of Health and Human Services (DHHS), The United States of America NIH Division of Extramural Inventions and Technology Resources (DEITR);The General Hospital Corporation;Siemens Healthcare GmbH 发明人 Weller Daniel;Grady Leo;Wald Lawrence;Goyal Vivek K
分类号 G01R33/341;G01R33/58;G01R33/561 主分类号 G01R33/341
代理机构 代理人
主权项 1. A system for parallel image processing in MR imaging, comprising: a plurality of MR imaging RF coils, wherein each MR imaging RF coil is configured to individually receive MR imaging signals representing a slice or volume of patient anatomy; an MR imaging arrangement configured to use the plurality of RF coils to acquire a corresponding plurality of incomplete image data sets of said slice or volume; and an image data processor comprising at least one processing device, wherein the image data processor is configured to: derive a first set of weights for calculating a weighted combination of k-space data of said plurality of incomplete image data sets to generate a calibration data set comprising a subset of k-space data of composite image data representing said plurality of image data sets,generate a first complete MR image data set based on said calibration data set,determine parameters of a probability distribution based on said first set of weights and said first complete MR image data set,derive a second set of weights based on said calibration data set and on said first complete MR image data set, using said probability distribution, andgenerate a second complete MR image data set based on said second set of weights.
地址 Washington DC US