The ROI defect statistical analysis of substantia nigra to reproducibility of designed experimental algorithm for potential Parkinson's disease diagnosis

Authors:
Jiří Blahuta;Tomáš Soukup;Petr Čermák;David Novák
Affiliations:
Department of Informatics, Silesian University in Opava, Opava, Czech Republic;Department of Informatics, Silesian University in Opava, Opava, Czech Republic;Department of Informatics, Silesian University in Opava, Opava, Czech Republic;Department of Informatics, Silesian University in Opava, Opava, Czech Republic
Venue:
MACMESE'11 Proceedings of the 13th WSEAS international conference on Mathematical and computational methods in science and engineering
Year:
2011

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Abstract

The aim of this paper is introducing of method to analyze defects in area substantia nigra in mescephalon to potential Parkinson's disease diagnosis. We developed an application in MATLAB to classification. This method is based on thresholding and calculating an area of defects in elliptical ROI in appropriate area to compare descending tendency of area of defects and statistical analysis such as variance and standard deviation analysis to reproducibility of designed method. We work with set of ultrasound images in DICOM format or converted JPEG images. Results has been tested and verified with 600 samples.