Ischemic Stroke Segmentation on CT Images Using Joint Features

Article type: Research Article

Authors: Ušinskas, Andrius | Dobrovolskis, Romualdas A. | Tomandl, Bernd F.

Affiliations: Faculty of Electronics, Vilnius Gediminas Technical University, Naugarduko 41, 03227 Vilnius, Lithuania, e‐mail: [email protected] | Center of Radiology, Faculty of Medicine, Vilnius University, Santariškių 2, 08661 Vilnius, Lithuania | Universität Erlangen‐Nürnberg Abteilung Neuroradiologie, Schwabachanlage 6, D‐91054 Erlangen, Germany

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.

Keywords: ischemic stroke of human head brain, computed tomography, image segmentation

Journal: Informatica, vol. 15, no. 2, pp. 283-290, 2004