Segmentation of the Intracerebral Hemorrhagic Strokes (Bleeds) from Brain CT Image Based on GVF Snake

Abstract

Segmentation of Intracerebral Hemorrhagic Strokes from Brain CT Image is a process of segmenting homogenous area to measure its volume. The purpose of this paper is to calculated the ROI area from ICH bleeding, the results then are compared with the results of CT Scan area. The process used DICOM image with Gradient Vector Flow (GVF) Snake method. DICOM image shows the pixel area; therefore, by calculating the resulted area from the segmentation, the homogenous area or the bleeding area of intracerebral hemorrhagic (ICH) ca be determined. GVF Snake method is a type of active contours that can be used for bleeding segmentation. The formulated constants for image are σ=5, µ=0.1, GVF Iteration=40, α=0.05, ß=0, y=5, k=5, and Snake Iteration = 40. The result of ROI GVF Snake area is compared with ROI area from the CT-Scan, with the similarity of 79.937%.