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

被引:0
|
作者
Ginocchio, Luke A. [1 ]
Jaglan, Sonam [1 ]
Tong, Angela [1 ]
Smereka, Paul N. [1 ]
Benkert, Thomas [2 ]
Chandarana, Hersh [1 ]
Shanbhogue, Krishna P. [1 ]
机构
[1] NYU Langone Hlth, NYU Grossman Sch Med, Dept Radiol, New York, NY USA
[2] Siemens Healthcare GmbH, MR Applicat Predev, Erlangen, Germany
关键词
deep learning; diffusion-weighted imaging; abdominal MRI; accelerated imaging; novel MRI sequence; HEPATOCELLULAR-CARCINOMA; MRI;
D O I
10.1097/RCT.0000000000001622
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
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.
引用
收藏
页码:853 / 858
页数:6
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