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Spatially varying coil compression in magnetic resonance image reconstruction

机译:磁共振图像重建中空间变化的线圈压缩

摘要

A method for performing a magnetic resonance image reconstruction with spatially varying coil compression includes using a non-Cartesian acquisition scheme to acquire a multi-coil k-space dataset fully sampled along a fully sampled direction and decoupling the multi-coil k-space dataset along the fully sampled direction to yield a plurality of uncompressed coil data matrices. The plurality of uncompressed coil data matrices are compressed to yield a plurality of virtual coil data matrices which are aligned along the fully sampled direction to yield a plurality of aligned virtual coil data matrices. The aligned virtual coil data matrices are coupled along the fully sampled direction to yield a compressed multi-coil k-space dataset. Intensity values in the plurality of aligned virtual coil data matrices are normalized based on the plurality of uncompressed coil data matrices and an image is reconstructed using the compressed multi-coil k-space dataset.
机译:一种用于在空间上变化的线圈压缩下执行磁共振图像重建的方法,包括使用非笛卡尔采集方案来获取沿完全采样方向完全采样的多线圈k空间数据集,以及将多线圈k空间数据集沿解耦在完全采样的方向上产生多个未压缩的线圈数据矩阵。多个未压缩的线圈数据矩阵被压缩以产生多个虚拟线圈数据矩阵,其沿着完全采样的方向排列以产生多个对齐的虚拟线圈数据矩阵。对齐的虚拟线圈数据矩阵沿完全采样的方向耦合,以生成压缩的多线圈k空间数据集。基于多个未压缩的线圈数据矩阵对多个对准的虚拟线圈数据矩阵中的强度值进行归一化,并使用压缩的多线圈k空间数据集重建图像。

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