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Abstract #2895

Dynamic Contrast-Enhanced MRI Using Spatial Prior Knowledge

Radovan Jiřík1, Michal Bartoš2, Karel Souček3,4,5, Eva Dražanová1, Lucie Krátká1, Lenka Dvořáková1, Torfinn Taxt6, and Zenon Starčuk, jr.1

1Institute of Scientific Instruments of the CAS, Brno, Czech Republic, 2Institute of Information Theory and Automation of the CAS, Praha, Czech Republic, 3Department of Cytokinetics, Institute of Biophysics of the CAS, Brno, Czech Republic, 4Center of Biomolecular and Cellular Engineering, International Clinical Research Center, Brno, St. Anne’s University Hospital Brno, Brno, Czech Republic, 5Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czech Republic, 6Department of Biomedicine, University of Bergen, Bergen, Norway

A method to improve reliability of DCE-MRI is presented. It is based on the assumption that neighboring voxels have similar physiological properties. It is formulated as a total variation regularization of the perfusion parameter maps. The method is applied to the adiabatic approximation of the tissue homogeneity model (ATH). Evaluation was done on data of five tumor bearing mice recorded using two contrast agents with different molecular weights. The resulting perfusion parameter maps were more spatially consistent with preserved edges.

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