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RAPID PARALLEL RECONSTRUCTION FOR ARBITRARY K-SPACE TRAJECTORIES

机译:任意K空间轨迹的快速并行重建

摘要

FIELD: radio engineering, communication.;SUBSTANCE: invention can be used for magnetic resonance parallel imaging. The method comprises acquiring an under-sampled magnetic resonance partially parallel imaging (MR-PPI) dataset using a plurality of radio frequency receiving coils and reconstructing the under-sampled MR-PPI dataset to generate a reconstructed magnetic resonance (MR) image, wherein the reconstruction includes: (i) using a generalised auto-calibrating partially parallel acquisition (GRAPPA) operator or direct convolution to fill in at least some missing data of the under-sampled MR-PPI dataset so as to generate an enlarged dataset containing the under-sampled MR-PPI dataset and missing data filled in by the operation (i); and (ii) using an algorithm other than a GRAPPA operator and other than direct convolution to reconstruct the enlarged dataset or to reconstruct the under-sampled MR-PPI dataset using the enlarged dataset as an initialisation dataset for an iterative reconstruction algorithm.;EFFECT: enabling magnetic resonance partially parallel imaging with reduced image artefacts and faster acquisition of a dataset.;15 cl, 17 dwg
机译:领域:无线电工程,通信;实质:本发明可以用于磁共振平行成像。该方法包括使用多个射频接收线圈获取欠采样的磁共振部分平行成像(MR-PPI)数据集,并重建欠采样的MR-PPI数据集以生成重建的磁共振(MR)图像。重建包括:(i)使用广义自动校准的部分并行采集(GRAPPA)运算符或直接卷积来填充欠采样MR-PPI数据集的至少一些缺失数据,从而生成包含欠采样的MR-PPI数据集的放大数据集。工序(i)填写的MR-PPI采样数据集和缺失数据; (ii)使用GRAPPA运算符以外的算法和直接卷积之外的算法来重构放大的数据集,或使用放大的数据集作为迭代重构算法的初始化数据集来重构欠采样的MR-PPI数据集。能够进行磁共振局部平行成像,减少图像伪像并更快地采集数据集; 15 cl,17 dwg

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