Coil2Coil: Self-supervised MR image denoising using phased-array coil images. (arXiv:2208.07552v1 [eess.IV])

Denoising of magnetic resonance images is beneficial in improving the quality
of low signal-to-noise ratio images. Recently, denoising using deep neural
networks has demonstrated promising results. Most of these networks, however,
utilize supervised learning, which requires large training images of
noise-corrupted and clean image pairs. Obtaining training images, particularly
clean images, is expensive and time-consuming. Hence, methods such as
Noise2Noise (N2N) that require only pairs of noise-corrupted images have been
developed to reduce the burden of obtaining training datasets. In …

arxiv denoising image images