Processing PET/CT Medicine Images and Determining the Object

Abstract

Today, as a result of the developments in medical imaging systems, combined Positron Emission Tomography and Computed Tomography (PET/CT) images are used as effective imaging tools in cancer diagnosis and treatment. The study aims to display the tumor in 3D using PET/CT images and to determine the change in tumor size over time. For rapid detection of tumor tissues from numerous PET/CT images is developed software (in Phyton). With the software, tomography images taken at 3 different times 30.05.2017, 23.10.2017 and 08.02.2019 of a patient with hypopharynx cancer are evaluated. The image and real object coordinates of the cancerous region with a radioactive substance in the images are calculated. For 3 different times, variables related to changes in the tumor size of the patient are evaluated in Matlab software and 3D imaging and volume calculations are made. Thus, the temporal variation of the shape, location, and dimensions of the tumor is determined, and whether the patient's response to treatment is positive is observed with image processing and evaluation techniques.

Keywords: Medical İmage Processing, PET/CT imaging, Segmentation, Thresholding, Volume Rendering, Classification.

DOI: 10.7176/JSTR/7-07-04