发明名称 |
MRI reconstruction with motion-dependent regularization |
摘要 |
A method of image reconstruction for a magnetic resonance imaging (MRI) system includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, iteratively reconstructing preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem including a regularization term weighted by a weighting parameter array, generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images, and iteratively reconstructing motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination. |
申请公布号 |
US9482732(B2) |
申请公布日期 |
2016.11.01 |
申请号 |
US201314065498 |
申请日期 |
2013.10.29 |
申请人 |
Chesneau Nicolas;Janardhanan Nirmal;Liu Jun;Nadar Mariappan S.;Wang Qiu;Yang Zhili |
发明人 |
Chesneau Nicolas;Janardhanan Nirmal;Liu Jun;Nadar Mariappan S.;Wang Qiu;Yang Zhili |
分类号 |
G06K9/00;G01R33/563;G01R33/48;G01R33/565;G01R33/561 |
主分类号 |
G06K9/00 |
代理机构 |
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代理人 |
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主权项 |
1. A method of image reconstruction for a magnetic resonance imaging (MRI) system comprising a plurality of coils, the method comprising:
obtaining k-space scan data captured by the MRI system via the plurality of coils, the k-space scan data being representative of an undersampled region over time; iteratively reconstructing, with a processor, preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem comprising a regularization term weighted by a weighting parameter array; generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images; and iteratively reconstructing, with the processor, motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination. |
地址 |
Pont-Saint-Martin FR |