Article

Dual-energy CT-based virtual monoenergetic imaging via unsupervised learning

2024-02-13

Abstract excerpt

<title>Abstract</title> <p>Since its development, virtual monoenergetic imaging (VMI) derived from dual-energy computed tomography (DECT) has been shown to be valuable in many clinical applications. However, DECT-based VMI showed increased noise at low keV levels. In this study, we proposed an unsupervised learning method to generate VMI from DECT. This means that we don’t require training and labeled (i.e. high-...

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Literature Corpus work: 96132796-f2be-5aa4-980d-2849d03d0b93
DOI: 10.21203/rs.3.rs-3925876/v1

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