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Abstract #0823

Glomerular filtration rate estimation in vivo using 3D radial MRI and a novel multiresolution reconstruction technique

Abhishek Pandey1,2, Jean-Philippe Galons1, Kevin Johnson3, Diego R Martin1, Maria I Altbach1, Ali Bilgin2,4, and Manojkumar Saranathan1,4

1Medical Imaging, University of Arizona, Tucson, AZ, United States, 2Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 3Siemens Medical Solutions USA, Inc., 4Biomedical Engineering, University of Arizona, Tucson, AZ, United States

Dynamic contrast enhanced MRI can be used to obtain single-kidney GFR estimates but tradeoffs between spatial and temporal resolution lead to errors. We propose a novel reconstruction technique where AIFs are generated from images reconstructed with high temporal resolution while renal parenchyma signal is extracted from images reconstructed over a larger temporal window to generate images with high spatial resolution and improved image quality. We demonstrate the clinical validity of the method by estimating the GFR using our proposed method and compare it with serum creatinine based eGFR estimate.

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