Improvements on the Gray Level Co-occurrence Matrix Technique to Compute Ischemic Stroke Volume

Abstract

The purpose of this work was to apply and test Haralick’s gray level co-occurrence matrix (GLCM) technique for automatic calculation and segmentation of the ischemic stroke volume from CT images. For this task, the 3-nearest neighbors classifier was trained to perform stroke and non-stroke area classification. The segmentation and classification results were compared versus a manual segmentation. Approximately half of the automatically computed and segmented stroke volumes from CT images differed less than 15 % from the corresponding manually segmented stroke volumes.