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Abstract #0465

Image registration with the generalized Hough transform as part of a free toolkit is an efficient and robust technique for improving the reliability of parameter estimates obtained from free-breathing MR renography

Christopher C. Conlin 1 , Jeff L. Zhang 1,2 , Florian Rousset 3,4 , Clement Vachet 3 , Yangyang Zhao 5 , Daniel Kim 1 , Glen Morrell 1,2 , Kathryn A. Morton 2 , Guido Gerig 3 , and Vivian S. Lee 1,2

1 Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, Utah, United States, 2 Department of Radiology, University of Utah School of Medicine, Salt Lake City, Utah, United States, 3 Scientific Computing and Imaging Institute, Salt Lake City, Utah, United States, 4 CPE Lyon, Lyon, France, 5 Department of Bioengineering, University of Utah, Salt Lake City, Utah, United States

Free-breathing dynamic scans are required to measure renal function with MR renography. These scans suffer from respiratory motion artifacts that must be corrected to accurately estimate functional parameters such as GFR. In this study, we evaluated the efficiency and inter-reader variability of a freely-available image analysis tool that uses the generalized Hough transform to correct respiratory motion artifacts in dynamic renographic scans. We found that the Hough-transform technique is faster and more robust than a previously reported algorithm and leads to more accurate estimates of renal function.

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