Abstract #0911

Feasibility of a Novel Sampling/Reconstruction Method Ensuring a SNR Benefit Over the Traditional Sampling Approach

Samuel Perron¹, Matthew S. Fox^1,2, Hacene Serrai¹, and Alexei Ouriadov^1,2,3

¹Physics and Astronomy, The University of Western Ontario, London, ON, Canada, ²Lawson Health Research Institute, London, ON, Canada, ³School of Biomedical Engineering, The University of Western Ontario, London, ON, Canada

To produce high-SNR images, MRI systems usually employ many signal averages, expensive high field-strength coils, and/or expensive contrast agents. The proposed sampling and reconstruction method, requiring no hardware modifications, would produce images with higher SNR without increasing scan times. Nine under-sampled images are averaged for every combination of images, and the resulting SNR vs. averages function is fitted according to the Stretched-Exponential Model (SEM). The resulting reconstructed image yielded higher SNR than the original image for all three imaging schemes (FGRE, x-Centric, FE-Sectoral), demonstrating the feasibility of the proposed method for the first time.

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