Evaluation of moyamoya disease in CT angiography using ultra-high-resolution computed tomography: Application of deep learning reconstruction. Issue 151 (June 2022)

• Record Type: Journal Article
• Authors: Fukushima, Yasuhiro; Fushimi, Yasutaka; Funaki, Takeshi; Sakata, Akihiko; Hinoda, Takuya; Nakajima, Satoshi; Sakamoto, Ryo; Yoshida, Kazumichi; Miyamoto, Susumu; Nakamoto, Yuji
• Is Part Of: European journal of radiology. Issue 151(2022)
• Publication Date: 2022-06
• Subjects: Deep learning -- Image reconstruction -- Digital subtraction angiography -- X-ray computed tomography; MMD moyamoya disease -- UHR CTA ultra-high-resolution computed tomography angiography -- DLR deep learning reconstruction -- Hybrid-IR hybrid iterative reconstruction -- MBIR model-based iterative reconstruction -- DSA digital subtraction angiography -- SNR signal-to-noise ratio; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2022.110294
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: DLR achieves the same improvement in signal-to-noise ratio as MBIR. DLR in UHR CT is the clinically feasible reconstruction time. UHR CT with DLR improves the performance of CT for evaluating moyamoya disease. UHR CT with DLR was useful for pediatric CTA with limited contrast dose. Abstract: Purpose: The aim of this study was to examine the evaluation of ultra-high-resolution computed tomography angiography (UHR CTA) images in moyamoya disease (MMD) reconstructed with hybrid iterative reconstruction (Hybrid-IR), model-based iterative reconstruction (MBIR), and deep learning reconstruction (DLR). Methods: This retrospective study with institutional review board approval included patients with clinically suspected MMD who underwent UHR CTA between January 2018 and July 2020. CTA images were reconstructed with three reconstruction methods. Qualitative visualization was evaluated in comparison with digital subtraction angiography. Quantitative evaluation included assessment of edge sharpness, full width at half maximum (FWHM), vessel contrast, and tissue signal-to-noise ratio (SNRtissue ). One-way analysis of variance was used to analyze differences. In addition, reconstruction time were assessed. Results: Qualitative evaluation of CTA for 33 sides did not differ significantly between reconstruction methods. In quantitative evaluation for 54 patients, edge sharpness for right and left cortical segments of the middle cerebral artery was significantly higher for Hybrid-IR than for other reconstructions. No significant difference was seen between MBIR and DLR. Edge sharpness for STA-MCA bypass was significantly higher for Hybrid-IR than for MBIR, but no significant difference was seen between Hybrid-IR and DLR. FWHM for STA-MCA showed no significant difference between the three reconstruction methods. DLR displayed the highest SNRtissue . The time required for reconstruction was 40 s for Hybrid-IR, 2580 s for MBIR, and 180 s for DLR. Conclusion: UHR CTA with DLR adequately visualized vessels in patients with MMD within a clinically feasible reconstruction time.