Visualization of 4D Breathing Motion from Medical Datasets
Abstract
Through new improvements in medical imaging, it is possible to record multiple three dimensional volumes over time, capturing the organ motion. To be useful for the medical staff these volumes need to be displayed in some way. This bachelor’s thesis first introduces the basics of volume rendering, especially the principle of raycasting, to generate 3-dimensional images from medical data sets. The main focus lies on visualizations that enhance the viewer’s perception of movements inside the volume. Five different visualization techniques are presented which are all designed for an interactive usage and an optimal interplay with the volume renderer. In order to reach an interactive performance, all methods rely on hardware acceleration through a GPU.
Thesis