Computational Models for Virtual Cerebral Aneurysm Coiling
Supervisor: Professor Alejandro Frangi

Coiling is the most widespread endovascular treatment for intracranial aneurysms. It consists of the placement of metal wires inside the aneurysm to promote blood coagulation. This project aims at developing a virtual coiling technique for pre-interventional planning and post-operative assessment of coil embolisation procedure of aneurysms. The goal is to develop an algorithm that mimics coil insertion inside a 3D aneurysm model, which allows the estimation of a plausible distribution of coils within a patient-specific anatomy.

In previous work we have proposed a method for virtual deployment of coils using a path-planning approach. This strategy allowed us to virtually deploy coils in realistic patient-specific anatomies of cerebral aneurysms and to explore the hemodynamic implications of coil configurations. However, there are still a number of issues to be explored, in particular to understand the role of coils in affecting hemodynamics in various anatomical configurations.

The project aims to: a) analyse the literature extensively thus providing an overview of the mechanical properties of real coils and their known behaviour; b) review existing literature on models for virtual coiling and critically analyse and understand to what extent they reproduce the known behaviour; c) propose extensions to our framework that are more realistic and comprehensive with respect to coil behaviour; d) implement the new model and demonstrate its applicability in a database of image-based cerebral aneurysms from 3D rotational angiography and understanding the hemodynamic properties of aneurysms before and after embolisation with coils.

me-pgadmit@sheffield.ac.uk
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