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Abstract #4049

ASL with Partial Separability to Incorporate SVD Denoising into the Reconstruction Algorithm

Charles John Marchini1 and Brad Sutton 1
1Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States

Synopsis

ASL methods result in low SNR. SVD denoising can be used to increase the temporal SNR of ASL data by throwing out the low energy singular values. The SVD can be done after a standard reconstruction, or as we show here during the reconstruction if partial separability is used. The incorporation of the SVD into the reconstruction algorithm allows for a higher tSNR within the gray matter. It also paves the path for future work in which subsampling the data results in higher temporal and spatial resolution ASL.

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