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...

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...