Stochastic Neighbor Embedding for interactive visualization of flow patterns in 4D flow MRI

Flow visualization is an important topic in many scientific domains and has been an active field of research for many years. Many different methods of analysis can be used in order to analyze flow, however recently big progress have been reported on the manifold learning algorithms for high-dimensional data. This thesis investigates the use of...

Postoperative Pancreas Segmentation

With a 5-year survival rate of only 9%, pancreatic cancer is one of the deadliest types of cancer. Among other things, this is caused by the extreme difficulty of diagnosing recurrent pancreatic cancer in an early stage. One of the important next steps in discovering pancreatic cancer automatically on a CT scan is finding healthy pancreatic...

Voxelwise rs-fMRI representation learning: A non-linear variational approach

Resting-state fMRI (rs-fMRI) has become an important imaging modality and is commonly used to study intrinsic brain networks. These networks can be obtained by decomposing rs-fMRI data into components, using independent component analysis (ICA). Recently, these ICA components have been used as inputs for neural networks to learn complex...

Acceleration Magnification for Visualising Blood Flow Pulsation in the Skin

While millions of people world wide suffer from arterial diseases, such as peripheral arterial disease, there are a limited number of methods that can be used to diagnose and track these diseases which are also easy, quick and non-invasive. <br/><br/>This work focuses on what is needed to improve diagnosing and tracking of peripheral arterial...

Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology

Registration between histology and ex-vivo Full Field Optical Coherence Tomography (FF-OCT) can help in many clinical applications including identifying surgical margin in a tumour tissue during intra-operative pathological diagnosis, quantifying features in FF-OCT for diagnosis and reduction of tissue processing time. In this work, we present a...

Fusion of CTA and XA data using 3D centerline registration to aid coronary intervention

Coronary Artery Disease (CAD) is one of the most commonly occurring heart diseases worldwide. It results from the buildup of plaque below the intima layer inside the vessel wall of the coronary arteries. This obstruction in the vessel walls hinders the blood flow to the heart muscle.The most commonly used treatment techniques for CAD is...

Early Detection of Rheumatoid Arthritis using extremity MRI: Quantification of Bone Marrow Edema in the Carpal bones

Visual scoring of magnetic resonance images for the early detection of rheumatoid arthritis is prone to human subjectivity and lacks sensitivity. In a bid to develop an objective and quantitative alternative using digital image processing, this thesis proposes automatic segmentation of the carpal bones, followed by the quantification of bone...

Computer-Aided Comparative Assessment of Inflammatory Lesions in MRI of the Spine in Axial Spondyloarthritis Patients

Detection of inflammatory lesions in magnetic resonance imaging (MRI) of the spine in axial Spondyloarthritis (SpA) patients is a labor-intensive task. Current scoring methods often require an expert reader to visually assess 23 vertebral units (VU) on multiple MRI slices. Furthermore, monitoring of progressive changes consists of a manual...

Towards Quantitative Spatio-Temporal Gene Expression Measurements in Mice

In this project we tried to answer the question whether it is possible to obtain in vivo quantitative spatiotemporal gene expression data of mice, by making use of the GFP protein and Biofluorence Imaging. The research was driven by a more specific question, being whether it is possible to detect if metastasis to the bone has occurred in cancer...