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 |
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代理人 |
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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 |