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Abstract #1251

Semi-Automatic Quantification of Late Enhancement in CT and MRI Images

Anja Hennemuth1, Andreas Mahnken2, Ola Friman3, Markus Huellebrand1, Heinz-Otto Peitgen1

1Fraunhofer MEVIS, Bremen, Germany; 2Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany; 3Swedish Defence Research Agency, Linkoeping, Sweden

Late enhancement (LE) imaging has become the gold standard for detecting necrotic tissue with MRI. The underlying effect of contrast agent accumulation in defective tissue is observed in CT image data as well. The purpose of this work was the comparison of semi-automatically detected LE volumes from CT and MRI data of pigs with inflicted infarctions. Image data was analyzed with a method that combines a mixture model approach and an additional closing step for the inclusion of microvascular obstructions. The comparison of the results regarding location and volume of the segmented regions showed a good agreement.