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Abstract #3739

Towards Non-Invasive Automatic Detection of Cardiac Pathology by Strain and Rotation Analysis

Hans C. van Assen1, Luc M.J. Florack2, Frank F.J. Simonis1, Jos J.M. Westenberg3, Gustav J. Strijkers1, Bart M. ter Haar Romeny1

1Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Noord Brabant, Netherlands; 2Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Noord Brabant, Netherlands; 3Radiology, Leiden University Medical Center, Leiden, Netherlands


This paper describes a novel image processing method for automated detection of cardiac pathology. It entails tagging analysis by means of an optical flow approach. Tag fading is overcome by exploitation of tag phase - retrieved by Gabor filtering - instead of tag brightness.

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