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Abstract #1107

Use of Reference Region Model to Improve Arterial Input Function Selection for Estimating Kidney Function with DCE-MRI

Cemre Ariyurek1, Onur Afacan1, Jeanne Chow1, Simon K Warfield1, and Sila Kurugol1
1Radiology, Boston Children's Hospital and Harvard Medical School, Boston, MA, United States

Estimating glomerular filtration rate (GFR) is crucial for diagnostic purposes. DCE-MRI is capable of measuring tracer kinetic parameters of kidney function. Tracer kinetic models require arterial input function to find tracer kinetic parameters such as filtration rate. However, determining the arterial input function concentration is challenging and important for estimating GFR accurately. Here, we propose to use reference region model to improve arterial input function selection to estimate GFR more accurately. Comparing the GFR values estimated using the improved arterial input function with the ground truth GFR, we have observed a significant decrease in the mean absolute error in GFR.

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