Intracranial aneurysms are outpouchings in the blood vessels that are typically formed near bifurcations and curvatures in the cerebral circulation. Advances in modern medical imaging techniques are able to detect unruptured aneurysms in the brain. Albeit patient’s health is at risk when an aneurysm ruptures causing life-threatening conditions such as, subarachnoid hemorrhage. Although the rupture risk increases with the size of an aneurysm, clinicians do observe the majority of smaller aneurysms being ruptured. The main factors responsible for the rupture of an aneurysm are not fully understood for making suitable treatment decisions against the risk of rupture. Identifying the state of the diseased arterial vessel wall is not fully possible to determine non-invasively through imaging. In this context, computational fluid dynamic (CFD) simulations are useful in the analysis of quantitative relation between rupture risk of middle cerebral artery (MCA) aneurysms and their morphological features. Three stages of aneurysm, its initiation, progression, and rupture is a complex phenomenon. The main objective of this proposal is to analyze the hemodynamic genesis of an aneurysm and its accentuation, for MCA aneurysms. Further, an understanding of the hemodynamics, with and without the aneurysm would enable us to compare and contrast the parameters of influence. Since the CT images do not facilitate an accurate wall reconstruction, it is highly desirable to reconstruct the wall and study the fluid-structure interaction (FSI) effects. To this end, both unruptured as well as ruptured aneurysms will be accurately regenerated to study the FSI influences.