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A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms

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dc.contributor.authorOtgonbaatar, Chuluunbaatar-
dc.contributor.authorKim, Hyunjung-
dc.contributor.authorJeon, Pil-Hyun-
dc.contributor.authorJeon, Sang-Hyun-
dc.contributor.authorCha, Sung-Jin-
dc.contributor.authorRyu, Jae-Kyun-
dc.contributor.authorJung, Won Beom-
dc.contributor.authorShim, Hackjoon-
dc.contributor.authorKo, Sung Min-
dc.contributor.authorKim, Jin Woo-
dc.date.accessioned2024-12-03T04:00:09Z-
dc.date.available2024-12-03T04:00:09Z-
dc.date.issued2024-06-
dc.identifier.issn0007-1285-
dc.identifier.issn1748-880X-
dc.identifier.urihttp://scholarworks.bwise.kr/kbri/handle/2023.sw.kbri/1216-
dc.description.abstractObjectives: 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.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherOXFORD UNIV PRESS-
dc.titleA preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1093/bjr/tqae117-
dc.identifier.wosid001258399800001-
dc.identifier.bibliographicCitationBRITISH JOURNAL OF RADIOLOGY, v.97, no.1160, pp 1492 - 1500-
dc.citation.titleBRITISH JOURNAL OF RADIOLOGY-
dc.citation.volume97-
dc.citation.number1160-
dc.citation.startPage1492-
dc.citation.endPage1500-
dc.type.docTypeArticle; Early Access-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.subject.keywordPlusSTENT-ASSISTED COILING-
dc.subject.keywordPlusHIGH-RESOLUTION CT-
dc.subject.keywordPlusIMAGE QUALITY-
dc.subject.keywordPlusFOLLOW-UP-
dc.subject.keywordPlusANGIOGRAPHY-
dc.subject.keywordPlusCOMPLICATIONS-
dc.subject.keywordPlusARTERIES-
dc.subject.keywordAuthorintracranial aneurysm-
dc.subject.keywordAuthorimage reconstruction-
dc.subject.keywordAuthorsuper-resolution deep learning reconstruction-
dc.subject.keywordAuthorblooming artifact-
dc.subject.keywordAuthorCT angiography-
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