Total variation noise reduction algorithm in computed tomography image with custom-built phantom using 3D-printer
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang S.-H. | - |
dc.contributor.author | Yoon M.-S. | - |
dc.contributor.author | Han D.-K. | - |
dc.contributor.author | Lee Y. | - |
dc.date.available | 2020-03-03T06:47:12Z | - |
dc.date.created | 2020-02-24 | - |
dc.date.issued | 2020-05 | - |
dc.identifier.issn | 0969-806X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/17807 | - |
dc.description.abstract | Noise in computed tomography (CT) is unavoidable because of various factors such as patient-source-related errors, hardware error, and electrical interference, which lead to unwanted diagnosis errors. Therefore, to solve this problem, we model a noise reduction algorithm based on total variation (TV) and applied it to images acquired using simulation study and 3D printing technology. Moreover, the conventional noise reduction algorithms are applied to the same image for comparative evaluation. For quantitative evaluation of the algorithms, we use the parameters of the coefficient of variation, signal-to-noise ratio, contrast-to-noise ratio, and normalized noise power spectrum. Our results indicate that the proposed TV noise reduction algorithm affords greater improvement in all the evaluation parameters considered in the simulation and 3D-printed phantom study, over the conventional noise reduction algorithms. In conclusion, we believe that our approach can significantly contribute to CT study and application. © 2019 Elsevier Ltd | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Elsevier Ltd | - |
dc.relation.isPartOf | Radiation Physics and Chemistry | - |
dc.title | Total variation noise reduction algorithm in computed tomography image with custom-built phantom using 3D-printer | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000525944500011 | - |
dc.identifier.doi | 10.1016/j.radphyschem.2019.108631 | - |
dc.identifier.bibliographicCitation | Radiation Physics and Chemistry, v.170 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85076845109 | - |
dc.citation.title | Radiation Physics and Chemistry | - |
dc.citation.volume | 170 | - |
dc.contributor.affiliatedAuthor | Kang S.-H. | - |
dc.contributor.affiliatedAuthor | Lee Y. | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | 3D printer | - |
dc.subject.keywordAuthor | Computed tomography | - |
dc.subject.keywordAuthor | Image characteristic | - |
dc.subject.keywordAuthor | Noise reduction algorithm | - |
dc.subject.keywordAuthor | Quantitative evaluation | - |
dc.subject.keywordAuthor | Total variation | - |
dc.subject.keywordPlus | 3D printers | - |
dc.subject.keywordPlus | Computerized tomography | - |
dc.subject.keywordPlus | Errors | - |
dc.subject.keywordPlus | Parameter estimation | - |
dc.subject.keywordPlus | Phantoms | - |
dc.subject.keywordPlus | Printing presses | - |
dc.subject.keywordPlus | Signal to noise ratio | - |
dc.subject.keywordPlus | Three dimensional computer graphics | - |
dc.subject.keywordPlus | Coefficient of variation | - |
dc.subject.keywordPlus | Computed tomography images | - |
dc.subject.keywordPlus | Electrical interference | - |
dc.subject.keywordPlus | Image characteristics | - |
dc.subject.keywordPlus | Noise reduction algorithms | - |
dc.subject.keywordPlus | Normalized noise power spectrum | - |
dc.subject.keywordPlus | Quantitative evaluation | - |
dc.subject.keywordPlus | Total variation | - |
dc.subject.keywordPlus | Image denoising | - |
dc.subject.keywordPlus | algorithm | - |
dc.subject.keywordPlus | Article | - |
dc.subject.keywordPlus | coefficient of variation | - |
dc.subject.keywordPlus | computer assisted tomography | - |
dc.subject.keywordPlus | contrast to noise ratio | - |
dc.subject.keywordPlus | controlled study | - |
dc.subject.keywordPlus | conventional noise reduction algorithm | - |
dc.subject.keywordPlus | intermethod comparison | - |
dc.subject.keywordPlus | mathematical parameters | - |
dc.subject.keywordPlus | normalized noise power spectrum | - |
dc.subject.keywordPlus | signal noise ratio | - |
dc.subject.keywordPlus | simulation | - |
dc.subject.keywordPlus | three dimensional printing | - |
dc.subject.keywordPlus | total variation noise reduction algorithm | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.