Predicting the rupture of aneurysms is crucial for medical prevention and treatment. As aspect ratio and size ratio increase and an aneurysm expands, the stress applied against the aneurysm walls and the time blood spends within it increase. This leads the probability of rupture to rise. Researchers develop a patient-specific mathematical model to examine what aneurysm parameters influence rupture risk prior to surgery. Computed tomography scans are fed into the model, which reconstructs the geometry and blood flow of the aneurysm. It then uses equations to describe the fluid flow, generating information about the blood vessel walls and blood flow patterns.