A qualitative and quantitative comparision of virtual template based registration methods to control motion in DCE-MRI
Isabella Radl1, Stephen Keeling2, and Rudolf Stollberger1,3
1Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 2Institute for Mathematics and Scientific Computing, Karl Franzens University of Graz, Graz, Austria, 3BioTechMed Graz, Graz, Austria
Different applications in DCE-MRI suffer from inter-frame misalignment due to physiological
motion, which has to be compensated for further analysis of
functional parameters. Conventional motion correction
methods are usually unable to register images with simultaneous changes of contrast and morphology. Virtual-template based registration
overcomes this problem by iteratively generating a motion-less
image series with
the contrast behaviour of the original DCE data as registration targets. We investigated different
methods to generate these virtual-templates and
identified Independent Component Analysis as best
approach among the investigated techniques. Results were validated on a
synthetic kidney phantom and in-vivo myocardial perfusion MRI.
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