Towards a computational system to support clinical treatment decisions for diagnosed cerebral aneurysms

Abstract

Cerebral aneurysms are one of the prevalent and devastating cerebrovascular diseases of adult population worldwide. In most cases, it causes rupturing of cerebral vessels inside the brain, which leads to subarachnoid hemorrhage. In this work, we present a clinical workflow model to assist endovascular interventionists to select the type of stent-related treatment for cerebral aneurysms. The model pipeline includes data-acquisition, processing of aneurysm geometry and the simulation of blood flow. The preliminary results show the potential clinical value of the proposed computational workflow.