Umit Yoruk1, Manojkumar Saranathan2, Brian Andrew Hargreaves2, Shreyas S. Vasanawala2
1Electrical Engineering, Stanford University, Palo Alto, CA, United States; 2Radiology, Stanford University, Stanford, CA, United States
Glomerular filtration rate (GFR) is an indicator of kidney function and can be measured by dynamic MR Urography (MRU). We assess the GFR estimation based on a high spatiotemporal resolution DCE method called DISCO. The acquisition parameters affect the temporal resolution and the temporal footprint of the dataset. We optimized the acquisition strategy by creating a digital phantom (based on 2-compartment model), simulating the acquisition with different parameters and comparing the estimated Ktrans to the original Ktrans value we used to create the phantom. Upon validation of the method, we presented a clinical case to demonstrate DISCO-MRU.