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Abstract #2174

Arterial Spin Labeling (ASL) Denoising with Markov Random Field (MRF) Optimization

Yongsheng Zhang1, Ze Wang1

1Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States

ASL MRI has an intrinsic low signal-to-noise-ratio, requiring an efficient denoising method. Spatial smoothing is efficient for suppressing random noise but at the expense of a resolution loss. We proposed a resolution preserving ASL denoising method based on the Markov random field theory. Our evaluation results showed that the proposed method can gain up to 4 fold SNR increase while still keep the structural details intact. By contrast, spatial smoothing induced severe blurring effects when a similar level of SNR increase was achieved.