发明名称 |
Rapid parallel reconstruction for arbitrary k-space trajectories |
摘要 |
An imaging method comprises acquiring an undersampled magnetic resonance partially parallel imaging (MR-PPI) dataset using a plurality of radio frequency receive coils and reconstructing the undersampled MR-PPI dataset to generate a reconstructed magnetic resonance (MR) image. The reconstructing includes: (i) using a generalized auto-calibrating partially parallel acquisition (GRAPPA) operator or direct convolution to fill in at least some missing data of the undersampled MR-PPI dataset so as to generate an enhanced dataset; and (ii) using an algorithm other than a GRAPPA operator and other than direct convolution to reconstruct the enhanced dataset or to reconstruct the undersampled MR-PPI dataset using the enhanced dataset as an initialization dataset for an iterative reconstruction algorithm. In some embodiments the MR-PPI dataset is a non-Cartesian dataset and a GRAPPA operator for wider radial bands (GROWL) is used in the operation (i). |
申请公布号 |
US9390521(B2) |
申请公布日期 |
2016.07.12 |
申请号 |
US201113996031 |
申请日期 |
2011.12.19 |
申请人 |
Koninklijke Philips N.V. |
发明人 |
Lin Wei;Huang Feng;Fuderer Miha |
分类号 |
G06K9/00;G06T11/00;G01R33/561;G01R33/48 |
主分类号 |
G06K9/00 |
代理机构 |
|
代理人 |
|
主权项 |
1. A method comprising:
acquiring an undersampled magnetic resonance partially parallel imaging (MR-PPI) dataset using a plurality of radio frequency receive coils,
wherein the dataset includes a central k-space region including k=0 that is not undersampled, an intermediate k-space region surrounding the central k-space region that is undersampled at a first acceleration factor R1, and an outer k-space region surrounding the intermediate k-space region that is undersampled at a second acceleration factor R2 where R2>R1; and reconstructing the undersampled MR-PPI dataset to generate a reconstructed magnetic resonance (MR) image, the reconstructing including:
(i) using a generalized auto-calibrating partially parallel acquisition (GRAPPA) operator or direct convolution to fill in at least some missing data of the undersampled MR-PPI dataset so as to generate an enhanced dataset comprising the undersampled MR-PPI dataset and missing data that is filled in by the operation (i), and(ii) using an algorithm other than a GRAPPA operator and other than direct convolution to reconstruct the enhanced dataset or to reconstruct the undersampled MR-PPI dataset using the enhanced dataset as an initialization dataset for an iterative reconstruction algorithm. |
地址 |
Eindhoven NL |