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Abstract #4146

Comparison of transform and image domain denoising techniques for multi-slice multi-echo T2 relaxation time mapping

Casey P. Johnson1,2, Suhail P. Parvaze1,2, Erick O. Buko1,2, and Steen Moeller2
1Department of Veterinary Clinical Sciences, University of Minnesota, Saint Paul, MN, United States, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States

Synopsis

Keywords: Data Processing, Quantitative Imaging, denoising

Motivation: The SNR efficiency of multi-slice multi-echo (MSME) T2 mapping can be improved by denoising strategies.

Goal(s): To evaluate the performance of a recently proposed low-rank transform domain technique vs. prior-art image domain denoising techniques for MSME T2 mapping.

Approach: A reference 20-average T2 mapping data set of a piglet knee specimen was acquired at 3T. The performances of transform (T-MPPCA and T-NORDIC) and image domain (MPPCA and BM4D) denoising were compared at different SNR levels and for magnitude vs. complex image data.

Results: T-NORDIC best preserved T2 map spatial fidelity and quantitative accuracy while providing a substantial reduction in image noise.

Impact: T-NORDIC provides significant advantages for denoising of MSME T2 mapping acquisitions compared to image domain methods, including improved quantitative accuracy and spatial fidelity, providing a robust approach to improve SNR efficiency while being conservative and preserving subtle local texture.

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Keywords