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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