Gernot Reishofer1, Robert Merwa2, Manuela Aschauer3, Sabine Zitta4, Rudolf Stollberger2, Franz Ebner5
1Department of Radiology / MR-Physics, Medical University of Graz, Graz, Austria; 2Institute of Medical Engineering, Graz University of Technology , Graz, Austria; 3Department of Radiology, Medical University of Graz, Graz, Austria; 4Department of Internal Medicine / Division of Nephrology, Medical University of Graz, Graz, Austria; 5Department of Radiology / Division of Neuroradiology, Medical University of Graz, Graz, Austria
An exact analysis of renal perfusion parameter in different tissues requires a sufficient image registration of the dynamic scan. Most registration algorithms, based on the conservation of pixel intensity values fail due to fast intensity changes caused by contrast media uptake. We circumvent this pitfall by evaluating a second dynamic time series using a filter operation in the time domain. The images of this time series are used as templates for a non rigid registration algorithm. We demonstrate that our algorithm significantly reduces kidney movement and allows a more differentiated analysis of several kidney tissue types.
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