Zijun Liu, Baohong Wen, Ziyu Wang, Kaiyu Wang, Lizhi Xie, Yimeng Kang, Qiuying Tao, Weijian Wang, Yong Zhang, Jingliang Cheng, Yan Zhang
BACKGROUND: Accelerated magnetic resonance imaging sequences reconstructed using the vendor-provided Recon deep learning algorithm (DL-MRI) were found to be more likely than conventional magnetic resonance imaging (MRI) sequences to detect subacromial (SbA) bursal thickening. However, the extent of this thickening was not extensively explored. This study aimed to compare the image quality of DL-MRI with conventional MRI sequences reconstructed via conventional pipelines (Conventional-MRI) for shoulder examinations and evaluate the effectiveness of DL-MRI in accurately demonstrating the degree of SbA bursal and subcoracoid (SC) bursal thickening...
April 3, 2024: Quantitative Imaging in Medicine and Surgery