Computerized Automatic Modeling of Medical Prostheses
Abstract
In this thesis we study artificial intelligence methods, rule-based expert systems in particular, for the task of automatically designing customized medical prostheses. Here, the term design denotes the shaping or modeling of the ...
Physics-based and Statistical Features for Image Forensics
Abstract
The objective of blind image forensics is to determine whether an image is authentic or captured with a particular device. In contrast to other security-related fields, like watermarking, it is assumed that no supporting patte...
Efficient and Trainable Detection and Classification of Radio Signals
Abstract
The strong need for robust and efficient radio signal detection and classification can be found both in civil and non-civil applications. Most of the current state-of-the-art systems are based on a separated versio...
Interactive Approaches to Video Lecture Assessment
Abstract
A growing number of universities and other educational institutions record videos of regularly scheduled classes and lectures to provide students with additional resources for their study. However, the video alone is not necessarily ...
Image Processing for Fluoroscopy Guided Atrial Fibrillation Ablation Procedures
Abstract
Atrial fibrillation is a common heart arrhythmia and is associated with an increased risk of stroke. The current state-of-the-art treatment option is the minimally invasive catheter ablation. During such ...
Diffusion Tensor Imaging Analysis of the Visual Pathway with Application to Glaucoma
Abstract
Glaucoma is an optic neuropathy affecting the entire visual system. The world-wide prevalence of glaucoma is estimated to be 60.5 million people. The visual disorder caused by glaucoma can reach comp...
Robust Single Shot Structured Light
Abstract
In this thesis a new robust approach for Single-Shot Structured Light 3D scanning is developed. As the name implies, this measurement principle requires only one image of an object, illuminated with a suitable pattern, to reconstruct the shape and ...
Machine Learning Methods in Computed Tomography Image Analysis
Abstract
Lymph nodes have high clinical relevance because they are often affected by cancer, and also play an important role in all kinds of infections and inflammations in general. Lymph nodes are commonly examined using computed...
Model-Constrained Non-Rigid Registration in Medicine
Abstract
The aim of image registration is to compute a mapping from one image's frame of reference to another's, such that both images are well aligned. Even when the mapping is assumed to be rigid (only rotation and translation) this can b...
Quantitative Computed Tomography
Abstract
Computed Tomography (CT) is a wide-spread medical imaging modality. Traditional CT yields information on a patient's anatomy in form of slice images or volume data. Hounsfield Units (HU) are used to quantify the imaged tissue properties. Due to the po...
