Abstract #3240

Accurate mapping of T2 relaxation times at low SNR, based on Bloch simulations and PCA image denoising

Neta Stern¹, Dvir Radunsky¹, Tamar Blumenfeld-Katzir¹, and Noam Ben-Eliezer^1,2,3

¹Bio-medical Engineering, Tel Aviv University, Tel Aviv, Israel, ²Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, ³Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States

Quantitative T₂ mapping using Bloch simulations offers high mapping accuracy, albeit may suffer from reduced precision due to noisy data when operating at low SNR.

In this work we tested the utility of PCA-based complex image denoising for increasing T₂ mapping precision. Mapping was done using the echo modulation curve algorithm. Denoising was tested on phantom and in vivo scans. Comparing T₂ maps before and after PCA complex image denoising showed an increase in T₂ precision with no apparent loss of spatial resolution.

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