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

Author:

Otgonbaatar Chuluunbaatar12ORCID,Kim Hyunjung3,Jeon Pil-Hyun3,Jeon Sang-Hyun3,Cha Sung-Jin3,Ryu Jae-Kyun2,Jung Won Beom4,Shim Hackjoon25,Ko Sung Min3,Kim Jin Woo3ORCID

Affiliation:

1. Department of Radiology, College of Medicine, Seoul National University , Seoul, 03080, Republic of Korea

2. Medical Imaging AI Research Center, Canon Medical Systems Korea , Seoul, 06173, Republic of Korea

3. Department of Radiology, Wonju Severance Christian Hospital, Wonju College of Medicine, Yonsei University of Korea , Wonju 26426, Republic of Korea

4. Korea Brain Research Institute (KBRI) , Daegu, 41062, Republic of Korea

5. ConnectAI Research Center, Yonsei University College of Medicine , Seoul, 03772, Republic of Korea

Abstract

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.

Funder

KBRI Basic Research Program

Korea Brain Research Institute

Ministry of Science and ICT

Publisher

Oxford University Press (OUP)

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