Shilpy Chowdhury1, Tao Zhang2, Richard A. Barth1, Michael Lustig3, Mark Murphy3, Marcus T. Alley1, Thomas Grafendorfer4, Paul Calderon5, John M. Pauly2, Brian A. Hargreaves1, Shreyas S. Vasanawala1
1Radiology, Stanford University, Stanford, CA, United States; 2Electrical Engineering, Stanford University, Stanford, CA, United States; 3Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, United States; 4ATD Coils, GE Healthcare, Stanford, CA, United States; 5MR Hardware Engineering,GE Healthcare, Fremont, CA, United States
Pediatric abdominal MRI is challenged by small anatomical structures and physiologic motion. We assessed performance and clinical validation of a new compressed sensing algorithm in 29 consecutive patients, that permits rapid reconstruction even with high-density coils. A 3D SPGR sequence with intermittent fat suppression and Poisson-disc variable density k-space sampling was developed. 3 reconstructions included parallel imaging (ARC), compression sensing (L1-SPIRiT) and coil compressed (CC) L1-SPIRiT. CC-L1-SPIRiT showed better image quality performance for most qualitative assessments. Compressed sensing with fast image reconstruction is feasible in a pediatric clinical environment and can improve quality of structural delineation in pediatric MRI.