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Abstract #4235

Denoising Meniscus T2* Mapping In College Basketball Players

Ek T Tan1, Erin C Argentieri1, Madeleine A Gao1, John Neri1, Garry E Gold2, Sharmila Majumdar3, Hollis G Potter1, and Matthew F Koff1
1Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States, 2Stanford University, Stanford, CA, United States, 3University of California San Francisco, San Francisco, CA, United States

Ultra-short echo time (UTE) T2* relaxometry is sensitive to meniscal injury, but suffers from low SNR when acquired at high spatial resolution. Two denoising techniques – principal components analysis (PCA) denoising and model-based denoising (MD) were evaluated. Simulations show PCA and MD work complimentarily to reduce variance and bias. In N=14 college basketball (cases) players vs. N=13 controls, MD and MDPCA significantly reduced coefficient of variance in the lateral menisci. A significant difference in T2* of lateral and menisci was observed in cases vs. controls.

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