Abstract #1850

A qualitative and quantitative comparision of virtual template based registration methods to control motion in DCE-MRI

Isabella Radl¹, Stephen Keeling², and Rudolf Stollberger^1,3

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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