Rationale and Objectives:
Ischemic strokes represent more than 80% of all stroke cases and are characterized by the occlusion of a blood
vessel due to a thrombus or embolus. The temporal evolution of ischemic strokes occurs in four stages, i.e.
Hyperacute, Acute, Subacute and Chronic. CT image by using ImageJ software help to identify stages of
ischemic stroke in human brain as an alternative method in the CT diagnosis. Materials and Methods:
Eighty samples of CT brain images were selected as research subjects in this study and confirmed examination
by specialists in Department of Radiology at Saiful Anwar Public Hospital, Malang. Each CT scan brain image
was analyzed using ImageJ version 1.48 software using standard Hounsfield unit.
The numerical values of gray scale for each stage of ischemic stroke stages have been identified using ImageJ
software. They were as follows. The mean gray value level of normal cases was ≥ 29, of hyperacute was
between 25 - 29, of acute cases was between 23 - 26, of subacute cases was between 20 - 23, and of chronic
cases was ≤ 20.
ImageJ is easy to use for identification of ischemic stroke stages in CT scan brain images. It has the ability to
assess the density of each pixel and the density measurements have been calibrated to reflect the true Hounsfield
unit values. The ratio of the accuracy of imageJ software in identification of ischemic stroke stages in CT scan
brain images in this study was 90%.
CT scan images, Hounsfield Unit, Ischemic stroke, ImageJ software.
e-ISSN: 2319-183X, p-ISSN: 2319-1821 Source Type:
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