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Abstract #5023

SNR-Enhanced T2 and Diffusion-Weighted 3D Dual-Echo Steady-State MRI Using Random Matrix Theory-Based Denoising Reconstruction

Zhaohuan Zhang1, Shu-Fu Shih1, and Holden H. Wu1
1Department of Radiology, University of California, Los Angeles, Los Angeles, CA, United States

Synopsis

Keywords: Diffusion/other diffusion imaging techniques, Diffusion/other diffusion imaging techniquesThree-dimensional (3D) dual-echo steady-state (DESS) MRI can produce multi-contrast (MC)images with T2 and diffusion weighting (DW) for simultaneous T2 and D mapping in knee and prostate. A primary challenge of MC DESS is the low signal-to-noise ratio (SNR) of DW DESS leads to less reliable diffusion mapping. In this work, we investigated a new random matrix theory-based denoising reconstruction to improve MC T2W/DW DESS by taking advantages of the inherent redundancy in noise statistics across multiple coil channel and contrasts dimensions. Our in-vivo knee and prostate experiments showed promising improvements in SNR and quality of T2 and D mapping.

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