Adaptive Tensor-Based Principal Component Analysis for Low-Dose CT Image Denoising.

Adaptive Tensor-Based Principal Component Analysis for Low-Dose CT Image Denoising.

Computed tomography (CT) has a revolutionized diagnostic radiology but involves large radiation doses that directly impact image quality. In this paper, we propose adaptive tensor-based principal component analysis (AT-PCA) algorithm for low-dose CT image denoising. Pixels in the image are presented...

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Bibliographic Details
Main Authors: Danni Ai, Jian Yang, Jingfan Fan, Weijian Cong, Yongtian Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4436221?pdf=render

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http://europepmc.org/articles/PMC4436221?pdf=render

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