Diploma and Master Theses (authored and supervised):
"Comparative Visualization of Pelvic Organ Segmentations";
Supervisor: R. Raidou, E. Gröller;
final examination: 2018-04-04.
Automatic segmentation of pelvic organs plays a major role in prostate cancer treatment and has high accuracy requirements. Segmentation experts are continuously working on improving their algorithms. However, natural anatomical variability of organs and structures is a common reason for which segmentation algorithms fail. Understanding why an algorithm fails in a specific case is of major importance. Segmentation experts expect that the shape and size of the organs can play an important role in the performance of their algorithms, but current means of exploration and analysis are limited and do not provide the necessary insight. This thesis discusses the design and implementation of a web-based application allowing for easy exploration and analysis of shape variability in order to generate hypotheses about the relation between algorithm performance and shape of organs. A new way of comparatively visualizing multiple organs of multiple patients is introduced for a detailed shape comparison. The application was tested with segmentation meshes of a cohort of 17 patients, each consisting of four pelvic organs and two organ-interfaces, which are labeled and have per-triangle correspondence. The proposed tools already allow users to quickly identify mis-segmented organs and hypothesize about the relation of variability to anatomical features as well as segmentation quality. The approach was applied on pelvic organ segmentations, but it can be extended to other applications like comparison of segmentation algorithms or analysis of anatomical variability in general.
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.