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