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

Authors
 Chuluunbaatar Otgonbaatar  ;  Hyunjung Kim  ;  Pil-Hyun Jeon  ;  Sang-Hyun Jeon  ;  Sung-Jin Cha  ;  Jae-Kyun Ryu  ;  Won Beom Jung  ;  Hackjoon Shim  ;  Sung Min Ko  ;  Jin Woo Kim 
Citation
 BRITISH JOURNAL OF RADIOLOGY, Vol.97(1160) : 1492-1500, 2024-06 
Journal Title
BRITISH JOURNAL OF RADIOLOGY
ISSN
 0007-1285 
Issue Date
2024-06
MeSH
Adult ; Aged ; Aged, 80 and over ; Deep Learning* ; Embolization, Therapeutic / methods ; Endovascular Procedures* / methods ; Female ; Humans ; Intracranial Aneurysm* / diagnostic imaging ; Intracranial Aneurysm* / surgery ; Intracranial Aneurysm* / therapy ; Male ; Middle Aged ; Retrospective Studies ; Signal-To-Noise Ratio ; Stents*
Keywords
CT angiography ; blooming artifact ; image reconstruction ; intracranial aneurysm ; super-resolution deep learning reconstruction
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.
Files in This Item:
T202504166.pdf Download
DOI
10.1093/bjr/tqae117
Appears in Collections:
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
Yonsei Authors
Shim, Hack Joon(심학준)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/206564
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