Ischemic Stroke Segmentation on CT Images Using Joint Features

Authors:
Andrius Ušinskas;Romualdas A. Dobrovolskis;Bernd F. Tomandl
Affiliations:
Faculty of Electronics, Vilnius Gediminas Technical University, Naugarduko 41, 03227 Vilnius, Lithuania, e-mail: andrius.usinskas@el.vtu.lt;Center of Radiology, Faculty of Medicine, Vilnius University, Santariškių 2, 08661 Vilnius, Lithuania;Universität Erlangen-Nürnberg Abteilung Neuroradiologie, Schwabachanlage 6, D-91054 Erlangen, Germany
Venue:
Informatica
Year:
2004

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Abstract

The paper describes a new method to segment ischemic stroke region on computed tomography (CT) images by utilizing joint features from mean, standard deviation, histogram, and gray level co-occurrence matrix methods. Presented unsupervised segmentation technique shows ability to segment ischemic stroke region.