Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging

Abstract X-ray computed tomography (CT) has been widely used to provide patient-specific anatomical information in the forms of tissue attenuation. However, the cumulative radiation induced in CT scan has raised extensive concerns in recently years. How to maintain reconstruction image quality is a...

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Autores principales:	Yang Chen, Jin Liu, Lizhe Xie, Yining Hu, Huazhong Shu, Limin Luo, Libo Zhang, Zhiguo Gui, Gouenou Coatrieux
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f736a045b47f4edbbd8f04161f3c5871
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spelling	oai:doaj.org-article:f736a045b47f4edbbd8f04161f3c58712021-12-02T15:05:36ZDiscriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging10.1038/s41598-017-13520-y2045-2322https://doaj.org/article/f736a045b47f4edbbd8f04161f3c58712017-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-13520-yhttps://doaj.org/toc/2045-2322Abstract X-ray computed tomography (CT) has been widely used to provide patient-specific anatomical information in the forms of tissue attenuation. However, the cumulative radiation induced in CT scan has raised extensive concerns in recently years. How to maintain reconstruction image quality is a major challenge for low-dose CT (LDCT) imaging. Generally, LDCT imaging can be greatly improved by incorporating prior knowledge in some specific forms. A joint estimation framework termed discriminative prior-prior image constrained compressed sensing (DP-PICCS) reconstruction is proposed in this paper. This DP-PICCS algorithm utilizes discriminative prior knowledge via two feature dictionary constraints which built on atoms from the samples of tissue attenuation feature patches and noise-artifacts residual feature patches, respectively. Also, the prior image construction relies on a discriminative feature representation (DFR) processing by two feature dictionary. Its comparison to other competing methods through experiments on low-dose projections acquired from torso phantom simulation study and clinical abdomen study demonstrated that the DP-PICCS method achieved promising improvement in terms of the effectively-suppressed noise and the well-retained structures.Yang ChenJin LiuLizhe XieYining HuHuazhong ShuLimin LuoLibo ZhangZhiguo GuiGouenou CoatrieuxNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-17 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yang Chen Jin Liu Lizhe Xie Yining Hu Huazhong Shu Limin Luo Libo Zhang Zhiguo Gui Gouenou Coatrieux Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging
description	Abstract X-ray computed tomography (CT) has been widely used to provide patient-specific anatomical information in the forms of tissue attenuation. However, the cumulative radiation induced in CT scan has raised extensive concerns in recently years. How to maintain reconstruction image quality is a major challenge for low-dose CT (LDCT) imaging. Generally, LDCT imaging can be greatly improved by incorporating prior knowledge in some specific forms. A joint estimation framework termed discriminative prior-prior image constrained compressed sensing (DP-PICCS) reconstruction is proposed in this paper. This DP-PICCS algorithm utilizes discriminative prior knowledge via two feature dictionary constraints which built on atoms from the samples of tissue attenuation feature patches and noise-artifacts residual feature patches, respectively. Also, the prior image construction relies on a discriminative feature representation (DFR) processing by two feature dictionary. Its comparison to other competing methods through experiments on low-dose projections acquired from torso phantom simulation study and clinical abdomen study demonstrated that the DP-PICCS method achieved promising improvement in terms of the effectively-suppressed noise and the well-retained structures.
format	article
author	Yang Chen Jin Liu Lizhe Xie Yining Hu Huazhong Shu Limin Luo Libo Zhang Zhiguo Gui Gouenou Coatrieux
author_facet	Yang Chen Jin Liu Lizhe Xie Yining Hu Huazhong Shu Limin Luo Libo Zhang Zhiguo Gui Gouenou Coatrieux
author_sort	Yang Chen
title	Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging
title_short	Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging
title_full	Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging
title_fullStr	Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging
title_full_unstemmed	Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging
title_sort	discriminative prior - prior image constrained compressed sensing reconstruction for low-dose ct imaging
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/f736a045b47f4edbbd8f04161f3c5871
work_keys_str_mv	AT yangchen discriminativepriorpriorimageconstrainedcompressedsensingreconstructionforlowdosectimaging AT jinliu discriminativepriorpriorimageconstrainedcompressedsensingreconstructionforlowdosectimaging AT lizhexie discriminativepriorpriorimageconstrainedcompressedsensingreconstructionforlowdosectimaging AT yininghu discriminativepriorpriorimageconstrainedcompressedsensingreconstructionforlowdosectimaging AT huazhongshu discriminativepriorpriorimageconstrainedcompressedsensingreconstructionforlowdosectimaging AT liminluo discriminativepriorpriorimageconstrainedcompressedsensingreconstructionforlowdosectimaging AT libozhang discriminativepriorpriorimageconstrainedcompressedsensingreconstructionforlowdosectimaging AT zhiguogui discriminativepriorpriorimageconstrainedcompressedsensingreconstructionforlowdosectimaging AT gouenoucoatrieux discriminativepriorpriorimageconstrainedcompressedsensingreconstructionforlowdosectimaging
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Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging

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