Original paper
Noise reduction in CT image using prior knowledge aware iterative denoising
Abstract
The clinical demand for low image noise often limits the slice thickness used in many CT applications. However, a thick-slice image is more susceptible to longitudinal partial volume effects, which can blur key anatomic structures and pathologies of interest. In this work, we develop a prior knowledge aware iterative denoising (PKAID) framework that utilizes spatial data redundancy in the slice increment direction to generate low-noise,...
Paper Details
Title
Noise reduction in CT image using prior knowledge aware iterative denoising
Published Date
Oct 16, 2020
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