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As decisions in cardiology increasingly rely on noninvasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best of our knowledge, we propose the first automatic system for patient-specific modeling and quantification of the left heart valves, which operates on cardiac computed tomography(More)
Even with the recent advances in multidetector computed to-mography (MDCT) imaging techniques, detection of calcified coronary lesions remains a highly tedious task. Noise, blooming and motion ar-tifacts etc. add to its complication. We propose a novel learning-based, fully automatic algorithm for detection of calcified lesions in contrast-enhanced CT data.(More)
Sixty-six patients with human immunodeficiency virus infection and diarrhoea caused by Cryptosporidium parvum were enrolled in a double-'blind' placebo-controlled study to evaluate the safety and efficacy of nitazoxanide in the treatment of cryptosporidiosis related to the acquired immune deficiency syndrome. Patients were randomly assigned to one of 3(More)
Ventilator-associated pneumonias (VAPs) are a worldwide problem that significantly increases patient morbidity, mortality, and length of stay (LoS), and their effects should be estimated to account for the timing of infection. The purpose of the study was to estimate extra LoS and mortality in an intensive-care unit (ICU) due to a VAP in a cohort of 69,248(More)
Recently conducted clinical studies prove the utility of Coronary Computed Tomography Angiography (CCTA) as a viable alternative to invasive angiography for the detection of Coronary Artery Disease (CAD). This has lead to the development of several algorithms for automatic detection and grading of coronary stenoses. However, most of these methods focus on(More)
Direct volume visualization of computer tomography data is based on the mapping of data values to colors and opacities with lookup-tables known as transfer functions. Often, limitations of one-dimensional transfer functions become evident when it comes to the visualization of aneurysms close the skull base. Computer tomography angiography data is used for(More)
Various coronary artery segmentation methods have been proposed and most of them are based on shortest path computation given one or two end points on the artery. The major variation of the shortest path based approaches is in the different vesselness measurements used for the path cost. An empirically designed measurement (e.g., the widely used Hessian(More)
Figure 1: Volume splatting of neurovascular structures with CT-angiography (a,b,c) and tagged MR data (d). Between 0.75% and 1.16% of the voxels are required for visualization of the vessels. Rendering is 4 to 10 times faster than screen aligned slicing of the whole volume (512 2 × 64). ABSTRACT A new technique is presented to increase the performance of(More)
Direct volume visualization has recently gained importance as a tool for the analysis of intracranial aneurysms focused on therapy planning. CT-angiography (CTA) intensities are mapped to color and opacity values by so called one-dimensional transfer functions. In this work, we introduce 3D-visualization of intracranial aneurysms making use of transfer(More)