|Recent studies show that patient outcome following ischemic stroke can be improved considerably with proper treatment selection in the acute phase. In the setting of acute stroke, CTA imaging data provide important information that can be used for this treatment selection. However, this information is currently sub-optimally used as the imaging data are only assessed qualitatively. Accurate and objective quantification of CTA imaging biomarkers, combined with advanced decision support models has the potential to greatly improve on current clinical practice. The aim of the project is therefore to develop and validate methods for the automated analysis of CTA data acquired in the acute stroke phase and to determine the added value of this analysis for supporting treatment selection in the acute stroke stage.