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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Detalles Bibliográficos
Autores principales: Ai, Danni, Yang, Jian, Fan, Jingfan, Cong, Weijian, Wang, Yongtian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436221/
https://www.ncbi.nlm.nih.gov/pubmed/25993566
http://dx.doi.org/10.1371/journal.pone.0126914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436221/
https://www.ncbi.nlm.nih.gov/pubmed/25993566
http://dx.doi.org/10.1371/journal.pone.0126914

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