Cited 2 times in
Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom study
DC Field | Value | Language |
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dc.contributor.author | 임동진 | - |
dc.contributor.author | 한경화 | - |
dc.contributor.author | 허진 | - |
dc.contributor.author | 홍유진 | - |
dc.date.accessioned | 2023-04-20T08:15:25Z | - |
dc.date.available | 2023-04-20T08:15:25Z | - |
dc.date.issued | 2023-03 | - |
dc.identifier.issn | 2223-4292 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/194043 | - |
dc.description.abstract | Background: The aim of this study was to compare the dose reduction potential and image quality of deep learning-based image reconstruction (DLIR) with those of filtered back-projection (FBP) and iterative reconstruction (IR) and to determine the clinically usable dose of DLIR for low-dose chest computed tomography (LDCT) scans. Methods: Multi-slice computed tomography (CT) scans of a chest phantom were performed with various tube voltages and tube currents, and the images were reconstructed using seven methods to control the amount of noise reduction: FBP, three stages of IR, and three stages of DLIR. For subjective image analysis, four radiologists compared 48 image data sets with reference images and rated on a 5-point scale. For quantitative image analysis, the signal to noise ratio (SNR), contrast to noise ratio (CNR), nodule volume, and nodule diameter were measured. Results: In the subjective analysis, DLIR-Low (0.46 mGy), DLIR-Medium (0.31 mGy), and DLIR-High (0.18 mGy) images showed similar quality to the FBP (2.47 mGy) image. Under the same dose conditions, the SNR and CNR were higher with DLIR-High than with FBP and all the IR methods (all P<0.05). The nodule volume and size with DLIR-High were significantly closer to the real volume than with FBP and all the IR methods (all P<0.001). Conclusions: DLIR can improve the image quality of LDCT compared to FBP and IR. In addition, the appropriate effective dose for LDCT would be 0.24 mGy with DLIR-High. © Quantitative Imaging in Medicine and Surgery. All rights reserved. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | AME Pub. | - |
dc.relation.isPartOf | QUANTITATIVE IMAGING IN MEDICINE AND SURGERY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom study | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학교실) | - |
dc.contributor.googleauthor | Yunsub Jung | - |
dc.contributor.googleauthor | Jin Hur | - |
dc.contributor.googleauthor | Kyunghwa Han | - |
dc.contributor.googleauthor | Yasuhiro Imai | - |
dc.contributor.googleauthor | Yoo Jin Hong | - |
dc.contributor.googleauthor | Dong Jin Im | - |
dc.contributor.googleauthor | Kye Ho Lee | - |
dc.contributor.googleauthor | Melissa Desnoyers | - |
dc.contributor.googleauthor | Brian Thomsen | - |
dc.contributor.googleauthor | Risa Shigemasa | - |
dc.contributor.googleauthor | Kyounga Um | - |
dc.contributor.googleauthor | Kyungeun Jang | - |
dc.identifier.doi | 10.21037/qims-22-618 | - |
dc.contributor.localId | A03361 | - |
dc.contributor.localId | A04267 | - |
dc.contributor.localId | A04370 | - |
dc.contributor.localId | A04422 | - |
dc.relation.journalcode | J02587 | - |
dc.identifier.eissn | 2223-4306 | - |
dc.identifier.pmid | 36915339 | - |
dc.subject.keyword | Low-dose chest computed tomography (LDCT) | - |
dc.subject.keyword | chest phantom | - |
dc.subject.keyword | deep learning-based image reconstruction (DLIR) | - |
dc.contributor.alternativeName | Im, Dong Jin | - |
dc.contributor.affiliatedAuthor | 임동진 | - |
dc.contributor.affiliatedAuthor | 한경화 | - |
dc.contributor.affiliatedAuthor | 허진 | - |
dc.contributor.affiliatedAuthor | 홍유진 | - |
dc.citation.volume | 13 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 1937 | - |
dc.citation.endPage | 1947 | - |
dc.identifier.bibliographicCitation | QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, Vol.13(3) : 1937-1947, 2023-03 | - |
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