Analysis of CT images of the COVID-19 patients

Abstract

In light of the COVID 19 sweeping the world, there is an urgent need for the speed and accuracy of diagnosing infected cases. The CT scan is imaging method for assessing the extent of virus penetration into the patient's lungs. Therefore, in this paper, we present a new method for enhancement CT images of COVID 19 patients. We propose and applied a new modified unsharp masking method for enhancing CT images of the COVID-19 patients. The main objective of using this technique is to add edge information back to the original image as well as to emphasize edges and discontinuities to obtain higher contrast in the enhanced images. We recruited 30 samples of CT scan image from (male and female). A new scale of contrast enhancement has been supported quantitative improvement using two assessment metrics EME (Measure of Enhancement) and AME (Absolute Measure of Enhancement). These scales control and help to get closer to a better appearance of the resulting image compared to the original image. The quality of output images of proposed technique outperforms traditional unsharp masking technique with 6.725% and 23.73% based on EME and AME evaluations.