Lung Segmentation Of X-Ray Thorax Image Using Geometric Active Contour And Analysis Of Histogram Equalization Filtering

Abstract

Chest cavity is an important part of the body structure because there are vital organs in it, namely the lungs. The lungs are the organs that come into contact with the outside of the body, where the disturbances in this organ could have implications for other vital organs, therefore it is necessary for clinical examination and x-ray examination.
So far, the observations of lungs from the X-ray image of the thorax have been done manually by a physician or radiologist, the results obtained are generally subjective. Therefore, it is needed to have medical aids that can provide an objectively better analysis and can be used in various areas, such as lungs mass screening (thorax). In this research, an application for segmenting lungs from the thorax x-ray image is developed using geometric active contour and analysis of histogram equalization filtering.
This study used 20 X-ray images of the chest cavity (thorax). Performance results of the test in the geometric active contour segmentation showed the sensitivity of 77.12%, accuracy of 95.88% and specificity of 98.85% for the right lung and the sensitivity of 81.09%, accuracy of 96.28% and specificity of 99.33% for the left lung.