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Variable Augmented Network for Invertible MR Coil Compression. (arXiv:2201.07428v1 [cs.CV])
Jan. 20, 2022, 2:10 a.m. | Xianghao Liao, Shanshan Wang, Lanlan Tu, Yuhao Wang, Dong Liang, Qiegen Liu
cs.CV updates on arXiv.org arxiv.org
A large number of coils are able to provide enhanced signal-to-noise ratio
and improve imaging performance in parallel imaging. As the increasingly grow
of coil number, however, it simultaneously aggravates the drawbacks of data
storage and reconstruction speed, especially in some iterative reconstructions.
Coil compression addresses these issues by generating fewer virtual coils. In
this work, a novel variable augmented network for invertible coil compression
(VAN-ICC) is presented, which utilizes inherent reversibility of
normalizing-flow-based models, for better compression and invertible …
More from arxiv.org / cs.CV updates on arXiv.org
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