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Abstract #3250

Impact of Compressed Sensing on Volumetric Knee MRI

Shreyas S. Vasanawala1, Peng Lai2, Marcus T. Alley1, Garry E. Gold1, John M. Pauly3, Michael Lustig4

1Radiology, Stanford University, Stanford, CA, United States; 2ASL West, GE Healthcare, Menlo Park, CA, United States; 3Electrical Engineering, Stanford University, Stanford, CA, United States; 4Electrical Engineering & CS, UC Berkeley, Berkeley, CA, United States

We investigate whether compressed sensing (CS) volumetric FSE joint MRI enables thinner slices with improved quality of reformatted images. A volumetric FSE sequence was modified for compatibility with both parallel imaging (ARC) L1-SPIRiT compressed sensing (CS) reconstructions. 24 consecutive routine knee MRI patients additionally underwent volumetric imaging: 12 each at low and high acceleration. For each subject, 12 anatomic structures were evaluated on both volumetric ARC and CS images and compared with conventional 2D FSE. Thinner slices afforded by the higher acceleration of CS improves volumetric knee MRI, particularly for delineation of structures primarily evaluated on reformatted images.