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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