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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Detalles Bibliográficos
Autores principales: Gou, Shuiping, Wang, Yueyue, Wang, Zhilong, Peng, Yong, Zhang, Xiaopeng, Jiao, Licheng, Wu, Jianshe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3762821/
https://www.ncbi.nlm.nih.gov/pubmed/24023764
http://dx.doi.org/10.1371/journal.pone.0072696

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3762821/
https://www.ncbi.nlm.nih.gov/pubmed/24023764
http://dx.doi.org/10.1371/journal.pone.0072696

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