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Abstract #3321

Compartmental Low-Rank Denoising for Multi-Delay ASL

Yanis Djebra1,2, Thibault Marin1, Jinsong Ouyang1, Georges El Fakhri1, Chao Ma1, and Paul Kyu Han1
1Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 2LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France

Arterial spin labeling (ASL) is a powerful magnetic resonance imaging (MRI) technique that allows to measure tissue perfusion, potentially an important biomarker for assessing cerebral tissue viability, without the use of contrast agent. However, the main drawback of ASL is in the intrinsically low signal-to-noise ratio (SNR). In this work, we investigate the low-rank property of ASL signal and explore the feasibility of improving the SNR of ASL signal using low-rank denoising approach. Results show that the ASL signal indeed display low-rank property and that the SNR in multi-delay ASL imaging can be improved using compartmental low-rank denoising method.

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