Intracranial aneurysms (IAs), affecting 2 to 5% of the adult population, present a significant health problem due to their risk of rupture. IA rupture, leading to subarachnoid hemorrhage, may be avoided by a preventive surgical or endovascular treatment. However, the majority of IAs remain stable, and treatments would then pose an unnecessary risk to patients. Balancing the risk of IA rupture against treatment risks is critical. Current clinical scores used for this decision-making process lack sensitivity and specificity and do not consider the crucial aspect of IA wall composition, which undergoes significant changes before rupture. IA imaging plays a pivotal role in managing IA disease by providing essential information on IA location, size, morphology, and potential growth. Improving angiography with innovative tools providing high-quality visualization of IAs, such as advanced contrast agents (CAs), is of paramount importance. Thus, the goal of my thesis work was to improve the prediction of IA stability through a better characterization of the unstable IA wall and to improve vessel imaging.