Improved image quality in transcatheter aortic valve implantation planning CT using deep learning-based image reconstruction

Quantitative Imaging in Medicine and Surgery

article

Andra Heinrich¹  Seyrani Yücel²  Benjamin Böttcher¹  Alper Öner²  Mathias Manzke¹  Ann-Christin Klemenz¹  Marc-André Weber¹  Felix G. Meinel¹ 

[1] Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology , University Medical Centre Rostock;Department of Internal Medicine, Division of Cardiology , University Medical Centre Rostock

关键词: Transcatheter aortic valve implantation (TAVI);    deep learning;    image reconstruction;    image quality;    computed tomography;   

DOI  :  10.21037/qims-22-639

学科分类：外科医学

来源: AME Publications

【 摘 要 】

Background: This study aims to evaluate the impact of a novel deep learning-based image reconstruction (DLIR) algorithm on the image quality in computed tomographic angiography (CTA) for pre-interventional planning of transcatheter aortic valve implantation (TAVI). Methods: We analyzed 50 consecutive patients (median age 80 years, 25 men) who underwent TAVI planning CT on a 256-dectector-row CT. Images were reconstructed with adaptive statistical iterative reconstruction V (ASIR-V) and DLIR. Intravascular image noise, edge sharpness, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were quantified for ascending aorta, descending aorta, abdominal aorta and iliac arteries. Two readers (one radiologist and one interventional cardiologist) scored task-specific subjective image quality on a five-point scale. Results: DLIR significantly reduced median image noise by 29–57% at all anatomical locations (all P<0.001). Accordingly, median SNR improved by 44–133% (all P<0.001) and median CNR improved by 44–125% (all P0.05). Conclusions: DLIR significantly improves objective and subjective image quality in TAVI planning CT compared to a state-of-the-art iterative reconstruction without affecting measurements of the aortic annulus. This may provide an opportunity for further reductions in contrast medium volume in this population.

【 授权许可】

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