Non-Positive Corrections and Variance Models for Iterative Post-Log Reconstruction of Extremely Low-Dose CT Data SCIE SCOPUS KCI
DC Field | Value | Language |
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dc.contributor.author | Kim Soo Mee | - |
dc.contributor.author | Lee Tzu-Cheng | - |
dc.contributor.author | Kinahan Paul E. | - |
dc.date.accessioned | 2020-12-10T07:47:11Z | - |
dc.date.available | 2020-12-10T07:47:11Z | - |
dc.date.created | 2020-08-03 | - |
dc.date.issued | 2020-07 | - |
dc.identifier.issn | 0374-4884 | - |
dc.identifier.uri | https://sciwatch.kiost.ac.kr/handle/2020.kiost/38600 | - |
dc.description.abstract | In extremely low-dose protocols to reduce radiation dose to patients, computed tomography (CT) images suffer from increased bias and low signal-to-noise ratio in measurements. In this study, we consider three different non-positive corrections, flip, truncation and mean-preserving filter (MPF), affecting the measurement mean, propose a new variance expression for weights in weighted least-squares (WLS) reconstruction, and evaluate the impact on changes in the mean and variance of measurements. We simulated 1000 polychromatic CT sinograms of a chest phantom, including realistic levels of quantum and electronic noises. For the simulated scenario of 80 kVp and 0.5 mAs, compared to the conventional threshold and flip methods, the mean-preserving filter reduced the bias in post-log sinogram values by up to five times. Simple weights in WLS reconstruction that neglected the effect of non-positive correction limited improvements in the image quality. The advanced variance estimates considering electronic noise and the effect of pre-processing on the variance change made both WLS and penalized WLS reconstructions improve. Although the image quality improvement from a WLS reconstruction based on a Gaussian post-log distribution is inherently limited, the proposed method for estimating the post-log variance including electronic noise and the effect of pre-corrections from a single measurement leads to some improvements in variance estimates for post-log CT data and showed the feasibility of post-log iterative reconstruction for extremely low-dose CT imaging. | - |
dc.description.uri | 1 | - |
dc.language | English | - |
dc.publisher | KOREAN PHYSICAL SOC | - |
dc.subject | IMAGE QUALITY | - |
dc.subject | ABDOMINAL CT | - |
dc.subject | REDUCTION | - |
dc.subject | PATIENT | - |
dc.title | Non-Positive Corrections and Variance Models for Iterative Post-Log Reconstruction of Extremely Low-Dose CT Data | - |
dc.title.alternative | Non-Positive Corrections and Variance Models for Iterative Post-Log Reconstruction of Extremely Low-Dose CT Data | - |
dc.type | Article | - |
dc.citation.endPage | 185 | - |
dc.citation.startPage | 177 | - |
dc.citation.title | JOURNAL OF THE KOREAN PHYSICAL SOCIETY | - |
dc.citation.volume | 77 | - |
dc.citation.number | 2 | - |
dc.contributor.alternativeName | 김수미 | - |
dc.identifier.bibliographicCitation | JOURNAL OF THE KOREAN PHYSICAL SOCIETY, v.77, no.2, pp.177 - 185 | - |
dc.identifier.doi | 10.3938/jkps.77.177 | - |
dc.identifier.scopusid | 2-s2.0-85088793462 | - |
dc.identifier.wosid | 000554716400013 | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002610923 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordPlus | IMAGE QUALITY | - |
dc.subject.keywordPlus | ABDOMINAL CT | - |
dc.subject.keywordPlus | REDUCTION | - |
dc.subject.keywordPlus | PATIENT | - |
dc.subject.keywordAuthor | CT iterative reconstruction | - |
dc.subject.keywordAuthor | Low-dose CT imaging | - |
dc.subject.keywordAuthor | Statistical post-log CT model | - |
dc.relation.journalWebOfScienceCategory | Physics, Multidisciplinary | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Physics | - |