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...

Full description

Bibliographic Details
Main Authors: Ai, Danni, Yang, Jian, Fan, Jingfan, Cong, Weijian, Wang, Yongtian
Format: Online
Language:English
Published: Public Library of Science 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436221/

Similar Items

Similar Items