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

  • Otgonbaatar, Chuluunbaatar
  • Kim, Hyunjung
  • Jeon, Pil-Hyun
  • Jeon, Sang-Hyun
  • Cha, Sung-Jin
  • ... Jung, Won Beom
  • 외 4명
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초록

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.

키워드

intracranial aneurysmimage reconstructionsuper-resolution deep learning reconstructionblooming artifactCT angiographySTENT-ASSISTED COILINGHIGH-RESOLUTION CTIMAGE QUALITYFOLLOW-UPANGIOGRAPHYCOMPLICATIONSARTERIES
제목
A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms
저자
Otgonbaatar, ChuluunbaatarKim, HyunjungJeon, Pil-HyunJeon, Sang-HyunCha, Sung-JinRyu, Jae-KyunJung, Won BeomShim, HackjoonKo, Sung MinKim, Jin Woo
DOI
10.1093/bjr/tqae117
발행일
2024-06
유형
Article
저널명
British Journal of Radiology
97
1160
페이지
1492 ~ 1500