This thesis explores advanced methods for imaging atherosclerotic plaque, which is the buildup inside arteries that can cause heart attacks and strokes. It focuses on using non-invasive imaging techniques like MRI, PET-MRI, and Dual-Energy CT to better detect and analyze these buildups. The research aims to improve early detection of plaques that are at risk of rupturing by enhancing imaging methods to visualize key features, such as bleeding within the plaque or inflammation. By combining different imaging techniques, this work aims to provide a clearer picture of the plaque's structure and behavior, which could help doctors identify high-risk patients sooner and guide treatment more effectively. The thesis also explores the distribution and predictive value for clinical events of one of the key component of plaque vulnerability, i.e. intraplaque hemorrhage. The ultimate goal is to reduce unnecessary surgeries and ensure that those who need interventions receive them, potentially saving lives and improving health outcomes for people with cardiovascular diseases.

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