Development of a user-Friendly Application for DICOM Image Segmentation and 3D Visualization of a Brain Tumor

Abstract

© 2019 IEEE. The main aim of this study is to develop an application which will be able to load DICOM images, segment a tumor on brain slices and create a three-dimensional model of the segmented tumor. Firstly, we present two algorithms - depth first search method (DFS) and active contours method, for brain tumor segmentation and compare their performance. Comparison of effectiveness of these two proposed algorithms included discussing parameters complexity of initial conditions that need to be set manually, accuracy of the segmented tumor surface area, and computational time. Described methodology was tested on computerized tomography (CT) medical images from 37 patients using two different algorithms. User-friendly application for tumor segmentation on two-dimensional images and three-dimensional visualization is developed in Java. Presented application and results can be used as assistance tools in cases of surgeries, but can also be helpful in brain tumor treatment.