Ph.D. Gallery

Point-based Registration of Vascular Structures: Applications for Diagnostic and Interventional Procedures With the introduction of computer-aided methods for diagnosis and intervention, patient outcomes of many clinical procedures have been increased tremendously in the last decades. An essenti...

Quantitative Biomarkers for Abdominal Magnetic Resonance Imaging The global prevalence of various metabolic pathologies, such as the metabolic syndrome, obesity, diabetes or nonalcoholic fatty liver disease (NAFLD) has increased steadily in recent decades, and takes on the proportions of a world...

Deep Learning-based Cell Detection in Microscopy Images In recent years, classical pathology has been in a constant state of change towards digital pathology. Digitisation forms the basis for supporting the work of pathologists in many ways by utilising computer-assisted methods. Among other thi...

Hyperspectral Image Analysis using Limited Data This thesis studies the use case of hyperspectral images in two applications, namely remote sensing and art history. The common challenge that is present in both these applications is the limited availability of labeled data. This limitation is cau...

Acquisition and Reconstruction Methods for Multidimensional and Quantitative MRI Magnetic Resonance Imaging (MRI) is a tomographic imaging technique using the principles of nuclear magnetism of mostly the hydrogen nuclei, which are largely contained in the human body. This allows for insights t...

Artificial Intelligence based Methods for Atrial Fibrillation Ablation Procedures As one of the most common types of heart arrhythmias, atrial fibrillation is a severe disorder of the heart rhythm affecting the left atrium. Among the most serious complications count stroke and tachycardia mediat...

Model-Based and Data-Driven Geometry Alignment for Angiography Systems Tomography is the reconstruction of internal structures based on a sensory signal. X-ray cone-beam computed tomography (CBCT) measures the X-ray absorption with a source-detector gantry mounted on a C-shaped arm that rotates ...

Applications of Data Consistency Conditions in Cone-Beam Computed Tomography The mathematical model of computed tomography data acquisition shows that every such measurement contains a degree of redundancy. This redundancy can be used to formulate data consistency conditions which enable quantif...

Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography Cone-beam computed tomography (CBCT) is a widely used imaging technology for medical diagnosis and interventions nowadays. Compared with conventional 2-D X-ray images, 3-D volumes reconstructed by CBCT p...

Robust 2-D/3-D Registration for Real-Time Patient Motion Compensation In interventional radiology, preoperative 3-D images are usually fused with 2-D X-ray images. Fusion of 2-D/3-D images provides additional 3-D information during interventions and an accurate alignment between the 3-D and 2-D ...