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Abstract #2797

Quantitative & qualitative evaluation of accelerated T2 mapping technique using Deep Learning reconstruction in knee cartilage

Laura Carretero1,2, Maggie Fung3, Pablo García-Polo1, Daniel Litwiller4, Marc Lebel5, Graeme C McKinnon6, and Mario Padrón7
1GE Healthcare, Madrid, Spain, 2Rey Juan Carlos University, Madrid, Spain, 3GE Healthcare, New York, NY, United States, 4GE Healthcare, Colorado, CO, United States, 5GE Healthcare, Calgary, AB, Canada, 6GE Healthcare, Waukesha, WI, United States, 7ClĂ­nica Cemtro, Madrid, Spain


MRI-based cartilage imaging shows biochemical and microstructural changes at early stages of osteoarthritis before changes become visible with structural MRI and arthroscopy. However, clinical application of T2 mapping is driven by high variability and suboptimal reproducibility, besides long examination times. The purpose of this study is to accelerate T2 mapping technique and apply a novel DL reconstruction method to develop a fast and robust way to access T2 relaxometry. Phantom and in-vivo testing demonstrated that DL reconstructed accelerated images provide increased consistency compared to conventional reconstruction and implies a great step into an extensive clinical adoption.

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