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Abstract #2158

Accelerating Arterial Spin Labeled Perfusion Imaging Using Compressed Sensing

Yihang Zhou1, 2, Jie Zheng3, Dong Liang4, Leslie Ying1, 2

1Electrical Engineering, University at Buffalo, Buffalo, NY, United States; 2Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, United States; 3Department of Radiology, Washington University, St. Louis, MO, United States; 4Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen, China

Arterial spin labeled (ASL) MRI method has been used as an alternative to first-pass perfusion imaging in assessing end organ perfusion. It has the advantage of avoiding administration of any contrast agent. However, this method is sensitive to motion artifacts due to prolonged data acquisition time for each T1 weighted image. The motion artifacts will greatly degrade the image quality and reduce the accuracy of perfusion measurements. In this study, the feasibility of accelerating ASL acquisition using compressed sensing is investigated. Results on calf muscle and cardiac experiments demonstrate compressed sensing is able to preserve the perfusion information with accelerated acquisition.

Keywords

accelerate accelerated accelerating acceleration accuracy acquisition acquisitions administration agent alternative applications applied arterial artifacts assess assessing best biomedical blood bolus buffalo calf cardiac central china choice circles close closely comparable component compressed conjugate contrast correlation curves degrade denotes dependent dimension domain dong dynamic electrical encoding engineering exploits fair feasibility fibrosis frame frames full fully gadolinium global gradient greatly heart highlighted highly in vivo indicate injection insufficiency intensity investigated labeled magma many maps match matrix minimize motion muscle myocardial myocardium nonlinear often organ origin pass patients patterns perfusion periodic pink preferred principle problem processed prolonged pulses quality quantitative quantitatively radiology randomly reconstructed reconstruction reduce reduced reduction regularization relies renal reported resolution retrospectively risk sampled sampling selective sensing sensitive shot skeletal slice solve space spatial specifically speed spin strong systemic temporal tissue training transform type variation visually volunteers