A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms
DC Field | Value | Language |
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dc.contributor.author | Otgonbaatar, Chuluunbaatar | - |
dc.contributor.author | Kim, Hyunjung | - |
dc.contributor.author | Jeon, Pil-Hyun | - |
dc.contributor.author | Jeon, Sang-Hyun | - |
dc.contributor.author | Cha, Sung-Jin | - |
dc.contributor.author | Ryu, Jae-Kyun | - |
dc.contributor.author | Jung, Won Beom | - |
dc.contributor.author | Shim, Hackjoon | - |
dc.contributor.author | Ko, Sung Min | - |
dc.contributor.author | Kim, Jin Woo | - |
dc.date.accessioned | 2024-12-03T04:00:09Z | - |
dc.date.available | 2024-12-03T04:00:09Z | - |
dc.date.issued | 2024-06 | - |
dc.identifier.issn | 0007-1285 | - |
dc.identifier.issn | 1748-880X | - |
dc.identifier.uri | http://scholarworks.bwise.kr/kbri/handle/2023.sw.kbri/1216 | - |
dc.description.abstract | Objectives: To investigate the usefulness of super-resolution deep learning reconstruction (SR-DLR) with cardiac option in the assessment of image quality in patients with stent-assisted coil embolization, coil embolization, and flow-diverting stent placement compared with other image reconstructions. Methods: This single-centre retrospective study included 50 patients (mean age, 59 years; range, 44-81 years; 13 men) who were treated with stent-assisted coil embolization, coil embolization, and flow-diverting stent placement between January and July 2023. The images were reconstructed using filtered back projection (FBP), hybrid iterative reconstruction (IR), and SR-DLR. The objective image analysis included image noise in the Hounsfield unit (HU), signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and full width at half maximum (FWHM). Subjectively, two radiologists evaluated the overall image quality for the visualization of the flow-diverting stent, coil, and stent. Results: The image noise in HU in SR-DLR was 6.99 +/- 1.49, which was significantly lower than that in images reconstructed with FBP (12.32 +/- 3.01) and hybrid IR (8.63 +/- 2.12) (P < .001). Both the mean SNR and CNR were significantly higher in SR-DLR than in FBP and hybrid IR (P < .001 and P < .001). The FWHMs for the stent (P < .004), flow-diverting stent (P < .001), and coil (P < .001) were significantly lower in SR-DLR than in FBP and hybrid IR. The subjective visual scores were significantly higher in SR-DLR than in other image reconstructions (P < .001). Conclusions: SR-DLR with cardiac option is useful for follow-up imaging in stent-assisted coil embolization and flow-diverting stent placement in terms of lower image noise, higher SNR and CNR, superior subjective image analysis, and less blooming artifact than other image reconstructions. Advances in knowledge: SR-DLR with cardiac option allows better visualization of the peripheral and smaller cerebral arteries. SR-DLR with cardiac option can be beneficial for CT imaging of stent-assisted coil embolization and flow-diverting stent. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | OXFORD UNIV PRESS | - |
dc.title | A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1093/bjr/tqae117 | - |
dc.identifier.wosid | 001258399800001 | - |
dc.identifier.bibliographicCitation | BRITISH JOURNAL OF RADIOLOGY, v.97, no.1160, pp 1492 - 1500 | - |
dc.citation.title | BRITISH JOURNAL OF RADIOLOGY | - |
dc.citation.volume | 97 | - |
dc.citation.number | 1160 | - |
dc.citation.startPage | 1492 | - |
dc.citation.endPage | 1500 | - |
dc.type.docType | Article; Early Access | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.subject.keywordPlus | STENT-ASSISTED COILING | - |
dc.subject.keywordPlus | HIGH-RESOLUTION CT | - |
dc.subject.keywordPlus | IMAGE QUALITY | - |
dc.subject.keywordPlus | FOLLOW-UP | - |
dc.subject.keywordPlus | ANGIOGRAPHY | - |
dc.subject.keywordPlus | COMPLICATIONS | - |
dc.subject.keywordPlus | ARTERIES | - |
dc.subject.keywordAuthor | intracranial aneurysm | - |
dc.subject.keywordAuthor | image reconstruction | - |
dc.subject.keywordAuthor | super-resolution deep learning reconstruction | - |
dc.subject.keywordAuthor | blooming artifact | - |
dc.subject.keywordAuthor | CT angiography | - |
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