Analysis and implementation of kidney stones detection by applying segmentation techniques on computerized tomography scans

Abstract

Kidney stone disease is one of the risks for life throughout the world and majority of people with stone formation in kidney at the initial stage do not notice it as disease and it damages the organ slowly.  Current estimation is that there are 30 million people suffering by this disease.  There are different imaging techniques for diagnosing kidney diseases, such as CT images, X-rays, and Ultrasound imaging.  In this study we explored the deployment of three segmentation techniques using matlab to examine the kidney area, and to enhance kidney stone detection.  The segmentation techniques under investigation are: threshold based segmentation, watershed based segmentation, and edge based segmentation.