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 Chechik^2,3, Chen Solomon¹, and Noam Ben-Eliezer^1,4,5

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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