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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