Time-of-Flight - A New Modality for Radiotherapy
Abstract
In this work, one of the first approaches utilizing so-called Time-of-Flight cameras for medical applications is presented. Using Time-of-Flight cameras it is feasible to acquire a 3-D model in real-time with a single sensor. Several s...
Interventional Perfusion Imaging Using C-arm Computed Tomography: Algorithms and Clinical Evaluation
Abstract
A stroke is a medical emergency which requires immediate diagnosis and treatment. For several years, image-based stroke diagnosis has been assisted using perfusion computed tomography...
Patient-Specific Cerebral Vessel Segmentation with Application in Hemodynamic Simulation
Abstract
Cerebral 3-D rotational angiography has become the state-of-the-art imaging modality in modern angio suites for diagnosis and treatment planning of cerebrovascular diseases, e. g. intracranial an...
Statistical Intensity Prior Models with Applications in Multimodal Image Registration
Abstract
Deriving algorithms that automatically align images being acquired from different sources (multimodal image registration) is a fundamental problem that is of importance to several active research ar...
Optimizing Application Driven Multimodality Spatio-Temporal Emission Imaging
Abstract
Single Photon Emission Computed Tomography (SPECT) is a widely used nuclear medicine imaging technique with many applications in diagnosis and therapy. With the introduction of hybrid imaging systems, int...
Novel Techniques for Spatial Orientation in Natural Orifice Translumenal Endoscopic Surgery (NOTES)
Abstract
With a novel approach abdominal surgery can be performed without skin incisions. The natural orifices provide the entry point with a following incision in stomach, colon, vagina or ...
Motion Estimation and Compensation for Interventional Cardiovascular Image Reconstruction
Abstract
The minimal invasive interventional treatment of cardiac diseases is of high importance in the modern society. Catheter-based procedures are becoming increasingly complex and novel tools for pl...
Normalization of Magnetic Resonance Images and its Application to the Diagnosis of the Scoliotic Spine
Abstract
Due to its excellent soft tissue contrast and novel innovative acquisition sequences, Magnetic Resonance Imaging has become one of the most popular imaging modalities in health c...
Probabilistic Modeling for Segmentation in Magnetic Resonance Images of the Human Brain
Abstract
This thesis deals with the fully automatic generation of semantic annotations for medical imaging data by means of medical image segmentation and labeling. In particular, we focus on the segmenta...
