S2MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement. (arXiv:2201.10294v1 [eess.IV])

Web: http://arxiv.org/abs/2201.10294

Photon counting spectral CT (PCCT) can produce reconstructed attenuation maps
in different energy channels, reflecting energy properties of the scanned
object. Due to the limited photon numbers and the non-ideal detector response
of each energy channel, the reconstructed images usually contain much noise.
With the development of Deep Learning (DL) technique, different kinds of
DL-based models have been proposed for noise reduction. However, most of the
models require clean data set as the training labels, which are not always
available …

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