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Abstract #2833

A Swifter SWIFT using Compressive Sensing

Sairam Geethanath1, Steen Moeller2, Curtis A. Corum2, Matthew A. Lewis1,3, Vikram D. Kodibagkar1,3

1Joint graduate program in Biomedical Engineering, UT Arlington & UT Southwestern Medical Center, Dallas, TX, United States; 2Center for Magnetic Resonance Research, University of Minnesota; 3Radiology, UT Southwestern Medical Center

Sweep imaging with Fourier transformation (SWIFT) is a novel MRI technique which facilitates imaging of short T2 nuclei. Currently, exquisite 3D images can be acquired within minutes but imaging dynamic changes in short T2 species, such as T2 exchange contrast agents, would require an even faster imaging scheme. The application of compressed sensing to accelerate SWIFT MR imaging has been demonstrated on a phantom for an acceleration factor ~5. Compressed sensing based reconstruction of the MR volume shows high fidelity with reduced artifacts and lower noise. Future work involves the reconstruction of in vivo data and applications to dynamic imaging.