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Abstract #0188

A Bayesian Approach for Accelerated Phase Contrast MRI

Adam Rich 1 , Lee C. Potter 1 , Ning Jin 2 , Joshua Ash 1 , Orlando Simonetti 3 , and Rizwan Ahmad 3

1 Electrical and Computer Engineering, The Ohio State University, Columbus, OH, United States, 2 Siemens Medical Solution, Columbus, OH, United States, 3 Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States

Phase Contrast MRI (PC-MRI) offers unique advantages over Doppler ultrasound for the quantification of hemodynamics. However, lengthy scan times have limited the clinical use of PC-MRI. We propose a Bayesian inference technique to accelerate PC-MRI data acquisition. The technique exploits the rich structure inherent to the data across space, time and encodings. Using 2D PC-MRI data from healthy volunteers, performance of the technique is examined over a wide range of acquisition times for prospective and retrospective under-sampling. The proposed technique provides an accurate recovery of peak and mean velocity at accelerate rates of eight or higher with fast computation.

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