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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