Cited 27 times in
Quantitative analysis of the effect of iterative reconstruction using a phantom: determining the appropriate blending percentage
DC Field | Value | Language |
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dc.contributor.author | 최진영 | - |
dc.contributor.author | 김기황 | - |
dc.contributor.author | 김명진 | - |
dc.contributor.author | 김현지 | - |
dc.contributor.author | 박미숙 | - |
dc.contributor.author | 이영한 | - |
dc.contributor.author | 정용은 | - |
dc.date.accessioned | 2016-02-04T10:54:51Z | - |
dc.date.available | 2016-02-04T10:54:51Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 0513-5796 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/139256 | - |
dc.description.abstract | PURPOSE: To investigate the optimal blending percentage of adaptive statistical iterative reconstruction (ASIR) in a reduced radiation dose while preserving a degree of image quality and texture that is similar to that of standard-dose computed tomography (CT). MATERIALS AND METHODS: The CT performance phantom was scanned with standard and dose reduction protocols including reduced mAs or kVp. Image quality parameters including noise, spatial, and low-contrast resolution, as well as image texture, were quantitatively evaluated after applying various blending percentages of ASIR. The optimal blending percentage of ASIR that preserved image quality and texture compared to standard dose CT was investigated in each radiation dose reduction protocol. RESULTS: As the percentage of ASIR increased, noise and spatial-resolution decreased, whereas low-contrast resolution increased. In the texture analysis, an increasing percentage of ASIR resulted in an increase of angular second moment, inverse difference moment, and correlation and in a decrease of contrast and entropy. The 20% and 40% dose reduction protocols with 20% and 40% ASIR blending, respectively, resulted in an optimal quality of images with preservation of the image texture. CONCLUSION: Blending the 40% ASIR to the 40% reduced tube-current product can maximize radiation dose reduction and preserve adequate image quality and texture. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 253~261 | - |
dc.relation.isPartOf | YONSEI MEDICAL JOURNAL | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Algorithms* | - |
dc.subject.MESH | Artifacts | - |
dc.subject.MESH | Contrast Media | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Phantoms, Imaging* | - |
dc.subject.MESH | Radiation Dosage | - |
dc.subject.MESH | Radiographic Image Interpretation, Computer-Assisted/methods* | - |
dc.subject.MESH | Signal-To-Noise Ratio | - |
dc.subject.MESH | Tomography, X-Ray Computed | - |
dc.title | Quantitative analysis of the effect of iterative reconstruction using a phantom: determining the appropriate blending percentage | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학) | - |
dc.contributor.googleauthor | Hyun Gi Kim | - |
dc.contributor.googleauthor | Yong Eun Chung | - |
dc.contributor.googleauthor | Young Han Lee | - |
dc.contributor.googleauthor | Jin-Young Choi | - |
dc.contributor.googleauthor | Mi-Suk Park | - |
dc.contributor.googleauthor | Myeong-Jin Kim | - |
dc.contributor.googleauthor | Ki Whang Kim | - |
dc.identifier.doi | 10.3349/ymj.2015.56.1.253 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A04200 | - |
dc.contributor.localId | A00345 | - |
dc.contributor.localId | A00426 | - |
dc.contributor.localId | A01139 | - |
dc.contributor.localId | A01463 | - |
dc.contributor.localId | A02967 | - |
dc.contributor.localId | A03662 | - |
dc.relation.journalcode | J02813 | - |
dc.identifier.eissn | 1976-2437 | - |
dc.identifier.pmid | 25510772 | - |
dc.subject.keyword | CT Image quality | - |
dc.subject.keyword | filtered back projection | - |
dc.subject.keyword | iterative reconstruction | - |
dc.subject.keyword | radiation dose reduction | - |
dc.subject.keyword | texture analysis | - |
dc.contributor.alternativeName | Choi, Jin Young | - |
dc.contributor.alternativeName | Kim, Ki Whang | - |
dc.contributor.alternativeName | Kim, Myeong Jin | - |
dc.contributor.alternativeName | Kim, Hyun Gi | - |
dc.contributor.alternativeName | Park, Mi Sook | - |
dc.contributor.alternativeName | Lee, Young Han | - |
dc.contributor.alternativeName | Chung, Yong Eun | - |
dc.contributor.affiliatedAuthor | Choi, Jin Young | - |
dc.contributor.affiliatedAuthor | Kim, Ki Whang | - |
dc.contributor.affiliatedAuthor | Kim, Myeong Jin | - |
dc.contributor.affiliatedAuthor | Kim, Hyun Gi | - |
dc.contributor.affiliatedAuthor | Park, Mi-Suk | - |
dc.contributor.affiliatedAuthor | Lee, Young Han | - |
dc.contributor.affiliatedAuthor | Chung, Yong Eun | - |
dc.rights.accessRights | free | - |
dc.citation.volume | 56 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 253 | - |
dc.citation.endPage | 261 | - |
dc.identifier.bibliographicCitation | YONSEI MEDICAL JOURNAL, Vol.56(1) : 253-261, 2015 | - |
dc.identifier.rimsid | 45525 | - |
dc.type.rims | ART | - |
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