CT image sequence restoration based on sparse and low-rank decomposition.

CT image sequence restoration based on sparse and low-rank decomposition.

Blurry organ boundaries and soft tissue structures present a major challenge in biomedical image restoration. In this paper, we propose a low-rank decomposition-based method for computed tomography (CT) image sequence restoration, where the CT image sequence is decomposed into a sparse component and...

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Bibliographic Details
Main Authors:	Shuiping Gou, Yueyue Wang, Zhilong Wang, Yong Peng, Xiaopeng Zhang, Licheng Jiao, Jianshe Wu
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2013-01-01
Series:	PLoS ONE
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24023764/?tool=EBI

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