Stanovení změn tkáně hlavy ve 3D modelech pacientů radioterapeutického oddělení

Abstract

This diploma thesis focuses on the detection of shape and volume changes in head tissues of patients undergoing radiotherapy. The teoretical part of the thesis provides an overview of head anatomy, pathological conditions treated with radiotherapy, radiotherapy and its side effects, description of linear acceleratos and use techniques, review of 3D camera types and analysis of software and algoritgms used for processing three-dimensional data. The practical part presents avaiable databases of 3D head models and proposes a methodology for processing 3D models. The models were modified in Blender 4.3 software, where tissue deformations simulating real changes occuring in oncological patiens were created. Based on the review of avaiable software tools and algorithms, suitable tools were selected for model analysis, along with the development of a custom algorithm in MATLAB r2023a. The designed algorithm enables the assessment of difference between the original and deformed models, generating outputs such as heatmaps, visualization of individual model layers, calculation of model volumes and their changes, and measurements of Hausdorff and Chamfer distances. The Fidentis Analyst II software was used for providing mainly visual data for model analysis.