Abstract #2783

Rapid high-resolution musculoskeletal MR imaging with a super resolution deep learning constrained Compressed SENSE reconstruction

Zheng Sun¹, Shan Huang², Xiance Zhao², Weibo Chen², Queenie Chan³, Yajing Zhang⁴, Johannes M. Peeters⁵, and Yuehua Li¹

¹Shanghai Sixth People's Hospital, Shanghai, China, ²Philips Healthcare, Shanghai, China, ³Philips Healthcare, Hong Kong, China, ⁴Philips Health Technology, Suzhou, China, ⁵Philips Healthcare, Best, Netherlands

Synopsis

Keywords: Skeletal, BoneThe integration of compressed-SENSE and artificial intelligence allows to acquire high-resolution images within relatively short scan times The purpose of this study is to compare the image quality of the musculoskeletal images reconstructed with Compressed -SENSE (CS), CS with integrated artificial intelligence (CS-AI) and CS-AI combined with superresolution(CS-AI-HR) . We found that the image quality was significantly improved by using CS-AI-HR compared to CS. This study provides supportive information for the application of CS-AI-HR in routine clinical practice.

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