Keywords: Image Reconstruction, Image Reconstruction, accelerated acquisition, beamforming, reduced field-of-view imaging, signal suppression, region-optimized virtual coils, coil compression
Motivation: ROVir (Region-Optimized Virtual coils) is a technique that constructs MRI virtual coils in a way that seeks to simultaneously maximize the amount of information captured by the smallest number of virtual coils (coil compression/dimensionality reduction) while also suppressing signal from undesired spatial regions (avoiding aliasing/leakage artifacts). Although ROVir generally performs well, its performance can sometimes be limited by coil geometry.
Goal(s): To improve the performance of ROVir.
Approach: We exploit the structure of Cartesian imaging, calculating distinct ROVir weights for each position along the fully-sampled readout.
Results: The proposed approach enables substantially better dimensionality reduction and signal suppression performance.
Impact: The proposed approach provides substantially better signal suppression and coil compression for Cartesian acquisitions, alleviating burdens on data acquisition (reducing the need for sequence-based signal suppression and enabling reduced-FOV imaging) and reducing the computational complexity of image reconstruction.
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