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JSENSE-Pro: Joint sensitivity estimation and image reconstruction in parallel imaging using pre-learned subspaces of coil sensitivity functions.

Lihong TangYibo ZhaoYudu LiRong GuoBingyang CaiJia WangYao LiZhi-Pei LiangXi PengJie Luo
Published in: Magnetic resonance in medicine (2022)
A subspace-based method named JSENSE-Pro has been proposed for accelerated parallel imaging without the acquisition of companion calibration data. The method is expected to further enhance the practical utility of parallel imaging, especially in applications where calibration data acquisition is not desirable or limited.
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