Low-dose CT imaging via cascaded ResUnet with spectrum loss
Abstract
The suppression of artifact noise in computed tomography (CT) with a low-dose scan protocol is challenging. Conventional statistical iterative algorithms can improve reconstruction but cannot substantially eliminate large streaks and strong noise elements. In this paper, we present a 3D cascaded ResUnet neural network (Ca-ResUnet) strategy with modified noise power spectrum loss for reducing artifact noise in low-dose CT imaging. The imaging...
Paper Details
Title
Low-dose CT imaging via cascaded ResUnet with spectrum loss
Published Date
Jun 1, 2022
Journal
Volume
202
Pages
78 - 87
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