Abstract #3760
Accelerated EPRI Using Partial Fourier Compressed Sensing Reconstruction
Vijayasarathi Nagarajan 1 , Taehoon Shin 1 , Chia Chu Chou 2 , Sankaran Subramanian 3 , Murali Cherukuri 3 , Alan McMillan 4 , Rao Gullapalli 1 , and Jiachen Zhuo 1
1
Diagnostic Radiology and Nuclear Medicine,
University of Maryland School of Medicine, Baltimore,
Maryland, United States,
2
University
of Maryland College Park, College Park, MD, United
States,
3
National
Cancer Institute, Bethesda, MD, United States,
4
University
of Wisconsin Madison, Madison, WI, United States
In EPRI, single point imaging is typically adopted due
to the very short T2's of the free radicals. This poses
needs for acquisition schemes to shorten the total scan
time, especially for dynamic imaging. Compressed sensing
reconstruction with typical variable density
under-samplings yielded unacceptable level of aliasing
signals due to the low spatial resolution in EPRI
images. We proposed a combined CS and partial Fourier
reconstruction, which significantly improves the
reconstruction accuracy by improving the reconstruction
conditioning. Reasonable data quality were achieved with
as little as 17% of data sampling (an acceleration
factor of 6) in EPRI.
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