Volume data fusions
Szabolcs Gróf · Digital Repository (National Repository of Grey Literature) · 2009
In the present work we study the methods of volumetric data fusion. The thesis starts by explaining the basic physical principles of selected medical image acquisition methods - Computed Tomography, Magnetic Resonance Imaging and Positron Emission Tomography. This is followed by a basic overview of the organization and format of the processed data. In the next part, the thesis deals with the theoretical and mathematical background of image registration. This includes the explanation of different types of transformations, the different types of interpolation used by the transformation, the mutual information criterion for the alignment of images and the process of optimization. The discussion of fusion visualization methods comes next where 13 methods are explained and example image outputs are provided. The next chapter describes the implementation details of the practical part of the thesis by explaining the two main components of the program: the registration filter component and the fusion visualization viewer component. UML diagrams are shown and the purpose and function of the classes of these components are described in detail. The thesis is closed by the user manual of the demonstrating program and a conclusion of the described methods, which also discusses possible future improvements.