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

Lihong Tang,Yibo Zhao,Yudu Li,Rong Guo,Bingyang Cai,Jia Wang,Yao Li,Zhi-Pei Liang,Xi Peng,Jie Luo

Magnetic resonance in medicine（2023）

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摘要

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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关键词

joint reconstruction,learned-subspace,parallel imaging,probabilistic subspace model,sensitivity encoding

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