Development of Mastoid Air Cell System Extraction Method on Temporal CT-scan Image

Abstract

Mastoiditis is disease that to infection of the mastoid bone cavity that affects the size of the air cell system of the temporal bone. Visually, the information temporal CT image mastoid bone has can assist medical experts in viewing the mastoid air cell system (MACS), but the fact that medical personnel are experiencing difficulties in determining the size MACS is due to the many different characteristics and objects overlap, so that in the measurement of the area, precise and accurate results have not been obtained. This study aims to separate the object of the MACS with the development of extraction. The proposed method uses Morphology and Regionprops operations. The dataset used in the testing process is 347 of 5 patients indicated for Mastoiditis. The results obtained can calculate the area of MACS for each test image. Based on image testing, the area of the smallest MACS in this study was 0.589 cm2 and the largest was 6.183 cm2. This, the smaller the size of the MACS indicates the severity of infection, so this study can help medical personnel make decisions and take appropriate treatment actions.

Automated Identification and Reconstruction of 3D Images on the Mastoid Air Cell System

“…To find the characteristics of an object MACS image on a CTscan of the temporal bone, an extraction process is needed by looking at the characteristics of MACS on the CT-scan of the temporal bone. These characteristics can be calculated based on the area and circumference of the object obtained from the results of the previous segmentation process [29]. MACS extraction results are presented in Figure 7.…”