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Abstract #3204

Utilisation of Clinical Knee MRI to Accelerate Quantitative T Imaging of Knee

Junru Zhong1, Chaoxing Huang1, Ziqiang Yu1, Fan Xiao2, Siyue Li1, Ong Michael Tim-Yun3, Ho Kevin Ki-Wai3, Queenie Chan4, James F Griffith1, and Weitian Chen1
1CU Lab of AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Sha Tin, NT, Hong Kong, 2Department of Radiology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Department of Orthopaedics & Traumatology, The Chinese University of Hong Kong, Sha Tin, NT, Hong Kong, 4Philips Healthcare, Sha Tin, NT, Hong Kong

Synopsis

Keywords: Analysis/Processing, Quantitative Imaging

Motivation: To accelerate the acquisition of quantitative knee T MRI by using clinical proton density (PD)-weighted image.

Goal(s): Achieve an accurate T quantification on knee cartilage using clinical PD-weighted image against the traditional mono-exponential fitting.

Approach: 30 knee osteoarthritis (OA) patients and 10 healthy volunteers underwent turbo spin echo (TSE) PD and T MRI. A multi-layer perceptron (MLP) neural network produced T values from one T dynamic scan (spin-lock time, TSL=50ms) and PD-weighted intensities.

Results: We achieved an agreement against the ground truth with a regional-averaged absolute and percentage error within the cartilage region at 3.80 ms and 8.08%.

Impact: Our proposed technology reduces the T contrast needed for fitting using the clinical PD-weighted MRI. This can contribute to clinical adoption of T.

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