A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms
- Authors
- Otgonbaatar, Chuluunbaatar; Kim, Hyunjung; Jeon, Pil-Hyun; Jeon, Sang-Hyun; Cha, Sung-Jin; Ryu, Jae-Kyun; Jung, Won Beom; Shim, Hackjoon; Ko, Sung Min; Kim, Jin Woo
- Issue Date
- Jun-2024
- Publisher
- OXFORD UNIV PRESS
- Keywords
- intracranial aneurysm; image reconstruction; super-resolution deep learning reconstruction; blooming artifact; CT angiography
- Citation
- BRITISH JOURNAL OF RADIOLOGY, v.97, no.1160, pp 1492 - 1500
- Pages
- 9
- Journal Title
- BRITISH JOURNAL OF RADIOLOGY
- Volume
- 97
- Number
- 1160
- Start Page
- 1492
- End Page
- 1500
- URI
- http://scholarworks.bwise.kr/kbri/handle/2023.sw.kbri/1216
- DOI
- 10.1093/bjr/tqae117
- ISSN
- 0007-1285
1748-880X
- 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.
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