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Abstract #0911

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

Samuel Perron1, Matthew S. Fox1,2, Hacene Serrai1, and Alexei Ouriadov1,2,3
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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