Abstract #3504

Evaluation of point-spread-function and signal-to-noise ratio in highly-accelerated Compressed Sensing-SENSE (CS-SENSE) and SENSE MRI

Di Cao^1,2,3, Adrian G.Paez^1,2, Xinyuan Miao^1,2, Dapeng Liu^1,2, Chunming Gu^1,2,3, and Jun Hua^1,2

¹F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, ²The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ³Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States

We seek to experimentally evaluate the point-spread-function (PSF) and signal-to-noise ratio (SNR) in sequences accelerated using conventional SENSE and the recently developed Compressed Sensing-SENSE (CS-SENSE) with acceleration-factors (R) ranging from 0 to 28. Both CS-SENSE and SENSE had little effect on the PSF in the tested 3D turbo-spin-echo (TSE) sequences. CS-SENSE showed preserved SNR-per-unit-time even when R=28 (compared to R=0), while SENSE reduced SNR-per-unit-time significantly when R≥4. Fold-over artifacts were seen on SENSE images with R≥8, but not on CS-SENSE images for R=0-28. Overall, CS-SENSE seems to show clear advantages compared to SENSE, especially with high acceleration-factors.

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