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Abstract #5043

Clinical value of a 10-minute deep-learning reconstruction fast spinecho knee magnetic resonance imaging protocol including T2 mapping

Xiaxia Wu1, Weiyin Vivian Liu2, and Yunfei Zha1
1Renmin Hospital of Wuhan University, Wu Han, China, 2GE Healthcare China, Beijing, Beijing, China

Synopsis

Keywords: Cartilage, Quantitative Imaging

Motivation: T2 mapping is difficult to be implemented in clinics for long scan time.

Goal(s): To propose a 10-minute fast spin echo knee MRI protocol including quantitative T2 map and morphologic images in identifying cartilage injury or grading cartilage degeneration.

Approach: To subjectively and objectively assess the clinical value of knee imaging with different acceleration factor of 2 and 3 as well as using conventional and deep learning reconstruction algorithms (CR, DLR).

Results: Both FSEDLR and DL-based quantitative T2 map with either an acceleration factor of 2 or 3 elevated diagnostic accuracy using a senior rater as a final diagnosis.

Impact: A knee protocol including deep-learning based FSE structure imaging and quantitative T2 map could be facilitated in clinical application further elevating the diagnostic accuracy and performance.

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