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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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