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

The mastoid air cell system (MACS) protects the structures in ear and regulates pressure cavity. MACS segmentation is very difficult because of many overlapping object characteristics temporal bone. This study aims to accurately identify measure areas from CT-scan images mastoiditis patients. data tested consisted 128 CT 13 different Images were taken using Siemens SOMATOM Perspective Scanner model 10662260 axially. extended Adaptive Threshold (eAT) method was developed produce optimal threshold values for each test image. Furthermore, eAT results are used convert image into a binary then applied identification extraction automatically reconstruction 2D 3D images. Smaller sizes indicate inflammation bone require intensive care. Thus, this research can be help doctors make right decisions carrying out further medical actions.