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Abstract #2172

In-Vivo evaluation of high resolution T2 mapping using Bloch simulations and MP-PCA image denoising

Neta Stern1, Dvir Radunsky1, Tamar Blumenfeld-Katzir1, Yigal Chechik2,3, Chen Solomon1, and Noam Ben-Eliezer1,4,5
1Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 2Department of Orthopedics, Shamir Medical Center, Zerifin, Israel, 3Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, 4Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 5Center for Advanced Imaging Innovation and Research (CAI2R), New-York University, Langone Medical Center, NY, United States

This study evaluates the performance of Marchenko-Pastur Principle Component Analysis (MP-PCA) denoising algorithm for improving T2 mapping precision using the EMC algorithm. Denoising efficiency was successfully validated on in vivo brain and knee scans, showing an increase in T2 maps’ precision while preserving anatomical features. This enables precise mapping of T2 values at high-resolutions. The proposed method can benefit a wide range of clinical applications, and carries the potential to enhance the detection of abnormalities on both T2 weighted images and qualitative T2 maps.

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