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Abstract #2754

Blind Multichannel Deconvolution for Estimation of a Parametric AIF in DCE-MRI of Mice

Radovan Jirik 1 , Karel Soucek 2,3 , Eva Drazanova 1 , Lucie Grossov 1,4 , Michal Standara 5 , Jir Kratochvla 4 , Ondrej Maccek 4 , Aneta Mal 1 , Torfinn Taxt 6 , and Zenon Starcuk, Jr. 1

1 Institute of Scientific Instruments of the ASCR, Brno, Czech Republic, 2 Department of Cytokinetics, Institute of Biophysics, Academy of Sciences of the Czech Republic, Brno, Czech Republic, 3 Center of Biomolecular and Cellular Engineering, International Clinical Research Center, Brno, Czech Republic, 4 Dept. of Biomedical Engineering, Brno Univ. of Technology, Brno, Czech Republic, 5 Dept. of Radiology, Masaryk Memorial Cancer Institute, Brno, Czech Republic, 6 Dept. of Biomedicine, Univ. of Bergen, Bergen, Norway

The contribution presents a new method for estimation of the arterial input function in dynamic contrast-enhanced MRI. A new parametric AIF model is introduced and a new blind multichannel deconvolution scheme is proposed. The esimated AIF is then used to provide perfusion-parameter maps. The method is evaluated on synthetic and real mouse data.

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