Pulmonary hypertension (PH) is defined as an elevated mean pressure in the pulmonary artery above 20mmHg determined at right-heart catheterization. Depending on the presentation and pathogenesis, patients are classified according to five main groups. A correct classification is crucial, since it is essential for the available therapy options.
A promising non-invasive method to provide important hemodynamic and clinical Information is the fully-automatic analysis of thoracic computed tomography images. This method can yield a number of quantitative morphologic readouts of the lung vasculature and the parenchyma.
This study aims to identify quantitative markers from the fully-automatic image analysis, which allow a discrimination between the various PH patient groups.
