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Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning–Based Image Reconstruction: Impact on Image Quality and Lesion Detection

医学 磁共振成像 图像质量 病变 图像(数学) 图像增强 核磁共振 扩散 核医学 放射科 人工智能 病理 计算机科学 热力学 物理
作者
Luke Ginocchio,Sonam Jaglan,Angela Tong,Paul Smereka,Thomas Benkert,Hersh Chandarana,Krishna P. Shanbhogue
出处
期刊:Journal of Computer Assisted Tomography [Lippincott Williams & Wilkins]
卷期号:48 (6): 853-858 被引量:5
标识
DOI:10.1097/rct.0000000000001622
摘要

Objective To perform image quality comparison between deep learning–based multiband diffusion-weighted sequence (DL-mb-DWI), accelerated multiband diffusion-weighted sequence (accelerated mb-DWI), and conventional multiband diffusion-weighted sequence (conventional mb-DWI) in patients undergoing clinical liver magnetic resonance imaging (MRI). Methods Fifty consecutive patients who underwent clinical MRI of the liver at a 1.5-T scanner, between September 1, 2021, and January 31, 2022, were included in this study. Three radiologists independently reviewed images using a 5-point Likert scale for artifacts and image quality factors, in addition to assessing the presence of liver lesions and lesion conspicuity. Results DL-mb-DWI acquisition time was 65.0 ± 2.4 seconds, significantly ( P < 0.001) shorter than conventional mb-DWI (147.5 ± 19.2 seconds) and accelerated mb-DWI (94.3 ± 1.8 seconds). DL-mb-DWI received significantly higher scores than conventional mb-DWI for conspicuity of the left lobe ( P < 0.001), sharpness of intrahepatic vessel margin ( P < 0.001), sharpness of the pancreatic contour ( P < 0.001), in-plane motion artifact ( P = 0.002), and overall image quality ( P = 0.005) by reader 2. DL-mb-DWI received significantly higher scores for conspicuity of the left lobe ( P = 0.006), sharpness of the pancreatic contour ( P = 0.020), and in-plane motion artifact ( P = 0.042) by reader 3. DL-mb-DWI received significantly higher scores for strength of fat suppression ( P = 0.004) and sharpness of the pancreatic contour ( P = 0.038) by reader 1. The remaining quality parameters did not reach statistical significance for reader 1. Conclusions Novel diffusion-weighted MRI sequence with deep learning–based image reconstruction demonstrated significantly decreased acquisition times compared with conventional and accelerated mb-DWI sequences, while maintaining or improving image quality for routine abdominal MRI. DL-mb-DWI offers a potential alternative to conventional mb-DWI in routine clinical liver MRI.

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