Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction

BMC Medical Imaging

Research

Jing Yan¹  Min Xu¹  Zhengyu Jin²  Xinyue Zhang²  Yining Wang²  Huadan Xue²  Yun Wang²  Daming Zhang²  Chunlin Mu³  Yuexin Chen⁴ 

[1] Canon Medical Systems, 100015, Beijing, China;Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100730, Bejing, China;Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100730, Bejing, China;Department of Radiology, Beijing Sixth Hospital, 100007, Beijing, China;Department of Vascular Surgery, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100730, Beijing, China;

关键词: Tomography;    Angiography;    Deep learning;    Algorithms;   

DOI  :  10.1186/s12880-023-00988-6

 received in 2022-08-25, accepted in 2023-02-06,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundTo evaluate the image quality of lower extremity computed tomography angiography (CTA) with deep learning–based reconstruction (DLR) compared to model-based iterative reconstruction (MBIR), hybrid-iterative reconstruction (HIR), and filtered back projection (FBP).MethodsFifty patients (38 males, average age 59.8 ± 19.2 years) who underwent lower extremity CTA between January and May 2021 were included. Images were reconstructed with DLR, MBIR, HIR, and FBP. The standard deviation (SD), contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), noise power spectrum (NPS) curves, and the blur effect, were calculated. The subjective image quality was independently evaluated by two radiologists. The diagnostic accuracy of DLR, MBIR, HIR, and FBP reconstruction algorithms was calculated.ResultsThe CNR and SNR were significantly higher in DLR images than in the other three reconstruction algorithms, and the SD was significantly lower in DLR images of the soft tissues. The noise magnitude was the lowest with DLR. The NPS average spatial frequency (fav) values were higher using DLR than HIR. For blur effect evaluation, DLR and FBP were similar for soft tissues and the popliteal artery, which was better than HIR and worse than MBIR. In the aorta and femoral arteries, the blur effect of DLR was worse than MBIR and FBP and better than HIR. The subjective image quality score of DLR was the highest. The sensitivity and specificity of the lower extremity CTA with DLR were the highest in the four reconstruction algorithms with 98.4% and 97.2%, respectively.ConclusionsCompared to the other three reconstruction algorithms, DLR showed better objective and subjective image quality. The blur effect of the DLR was better than that of the HIR. The diagnostic accuracy of lower extremity CTA with DLR was the best among the four reconstruction algorithms.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

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