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.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
