Bilateral Weighted Relative Total Variation for Low-Dose CT Reconstruction.
Low-dose computed tomography (LDCT) has been widely used for various clinic applications to reduce the X-ray dose absorbed by patients. However, LDCT is usually degraded by severe noise over the image space. The image quality of LDCT has attracted aroused attentions of scholars. In this study, we pr...
| Publicado en: | Journal of Digital Imaging Vol. 36; no. 2; pp. 458 - 468 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=162679401&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 162679401 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Apr2023 vid: 36 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 162679401 160459882 162679401 162679401 10.1007/s10278-022-00720-w 162679401 ppf: 458 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Bilateral Weighted Relative Total Variation for Low-Dose CT Reconstruction. aug: au: He, Yuanwei Zeng, Li Chen, Wei Gong, Changcheng Shen, Zhaoqiang affil: College of Mathematics and Statistics, Chongqing University, 401331, Chongqing, China sug: subj: Tomography, X-Ray Computed Methods Image Processing, Computer Assisted Dose-Response Relationship, Radiation Head Radiography Human X-Rays Radiographic Image Interpretation, Computer-Assisted Experimental Studies Algorithms Funding Source ab: Low-dose computed tomography (LDCT) has been widely used for various clinic applications to reduce the X-ray dose absorbed by patients. However, LDCT is usually degraded by severe noise over the image space. The image quality of LDCT has attracted aroused attentions of scholars. In this study, we propose the bilateral weighted relative total variation (BRTV) used for image restoration to simultaneously maintain edges and further reduce noise, then propose the BRTV-regularized projections onto convex sets (POCS-BRTV) model for LDCT reconstruction. Referring to the spacial closeness and the similarity of gray value between two pixels in a local rectangle, POCS-BRTV can adaptively extract sharp edges and minor details during the iterative reconstruction process. Evaluation indexes and visual effects are used to measure the performances among different algorithms. Experimental results indicate that the proposed POCS-BRTV model can achieve superior image quality than the compared algorithms in terms of the structure and texture preservation. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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