Cited 3 times in
A Hybrid Approach to Reduce Cone-Beam Artifacts for a Circular Orbit Cone-Beam CT System
DC Field | Value | Language |
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dc.contributor.author | 김진성 | - |
dc.date.accessioned | 2018-11-16T16:46:24Z | - |
dc.date.available | 2018-11-16T16:46:24Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/165308 | - |
dc.description.abstract | In a cone-beam computed tomography (CT) system, the Feldkamp, Davis, and Kress (FDK) algorithm produces cone-beam artifacts due to insuf cient object sampling in the missing cone region of frequency space. While total variation minimization-based iterative reconstruction (TV-IR) may reduce cone-beam artifacts by lling in the missing cone region, it introduces image blurring or noise increase depending on the regularization parameter. In this paper, we propose a method to reduce cone-beam artifacts through an optimal combination of FDK and TV-IR images. The method utilizes FDK (TV-IR) data outside (inside) the missing cone region, which enables to keep the original image quality of the FDK image and preserve the advantages of the TV-IR image for cone-beam artifact reduction. To validate the proposed method, we used numerical phantoms composed of Defrise disks, vertical plates, and star objects and assessed the image quality of FDK, TV-IR, and the proposed method using the mean squared error, contrast to noise ratio, and structural similarity with different TV-IR regularization parameters. Experimental validation was also conducted using a spine phantom with a bench-top cone-beam CT system. The results showed that the performance of the cone-beam artifacts reduction in TV-IR depended on the value of the regularization parameter, which often produced suboptimal image quality for different imaging tasks. However, the proposed method provided good image quality regardless of the regularization parameter values | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.relation.isPartOf | IEEE ACCESS | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | A Hybrid Approach to Reduce Cone-Beam Artifacts for a Circular Orbit Cone-Beam CT System | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiation Oncology (방사선종양학교실) | - |
dc.contributor.googleauthor | SHINKOOK CHOI | - |
dc.contributor.googleauthor | JINSUNG KIM | - |
dc.contributor.googleauthor | JONGDUK BAEK | - |
dc.identifier.doi | 10.1109/ACCESS.2018.2871804 | - |
dc.contributor.localId | A04548 | - |
dc.relation.journalcode | J03454 | - |
dc.identifier.eissn | 2169-3536 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8474973 | - |
dc.subject.keyword | Artifact correction | - |
dc.subject.keyword | computed tomography | - |
dc.subject.keyword | cone-beam artifacts | - |
dc.subject.keyword | reconstruction algorithms | - |
dc.subject.keyword | total variation regularization | - |
dc.contributor.alternativeName | Kim, Jinsung | - |
dc.contributor.affiliatedAuthor | 김진성 | - |
dc.citation.volume | 6 | - |
dc.citation.startPage | 54595 | - |
dc.citation.endPage | 54606 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, Vol.6 : 54595-54606, 2018 | - |
dc.identifier.rimsid | 58722 | - |
dc.type.rims | ART | - |
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