Quantification of the myocardial viability based on texture parameters of contrast ultrasound images

Authors:
Michał Strzelecki;Sławomir Skonieczka;Błażej Michalski;Piotr Lipiec;Jarosław D. Kasprzak
Affiliations:
Institute of Electronics, Technical University of Łódź, Łódź, Poland;Institute of Electronics, Technical University of Łódź, Łódź, Poland;II Chair and Dept. of Cardiology, Medical University of Łódź, Łódź, Poland;II Chair and Dept. of Cardiology, Medical University of Łódź, Łódź, Poland;II Chair and Dept. of Cardiology, Medical University of Łódź, Łódź, Poland
Venue:
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Year:
2012

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Abstract

The aim of this research is to develop a method for classification of the degree of myocardial necrosis using texture parameters estimated for static ultrasound images. The study is performed for the color and monochrome contrast echocardiograms that allow the advanced evaluation of myocardial function. The analysis includes investigation of different texture feature selection methods and application of two neural networks with different architectures along with SVM for classification. The obtained preliminary results are promising; classification error in all investigated cases is lower than 20%. The results were presented and discussed, also direction of further research was outlined.