Abstract #0105

Clinical Performance & Validation of a Compressed Sensing Contrast Enhanced MRI with Fast Image Reconstruction

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.