Efficient simulation of blood flow past complex endovascular devices using an adaptive embedding technique.
The simulation of blood flow past endovascular devices such as coils and stents is a challenging problem due to the complex geometry of the devices. Traditional unstructured grid computational fluid dynamics relies on the generation of finite element grids that conform to the boundary of the computational domain. However, the generation of such grids for patient-specific modeling of cerebral aneurysm treatment with coils or stents is extremely difficult and time consuming. This paper describes the application of an adaptive grid embedding technique previously developed for complex fluid structure interaction problems to the simulation of endovascular devices. A hybrid approach is used: the vessel walls are treated with body conforming grids and the endovascular devices with an adaptive mesh embedding technique. This methodology fits naturally in the framework of image-based computational fluid dynamics and opens the door for exploration of different therapeutic options and personalization of endovascular procedures.
Cebral
Juan R
JR
School of Computational Sciences, George Mason University, 4400 University Drive, MSN 4C7, Fairfax, VA 22030, USA. jcebral@gmu.edu
Löhner
Rainald
R
D000465:Algorithms; D001783:Blood Flow Velocity; D001794:Blood Pressure; D001807:Blood Vessel Prosthesis; D001809:Blood Viscosity; D001921:Brain / Q000098:blood supply / Q000000981:diagnostic imaging / Q000503:physiopathology / Q000601:surgery; D002533:Cerebral Angiography / Q000379:methods*; D003198:Computer Simulation; D019544:Equipment Failure Analysis / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods; D002532:Intracranial Aneurysm / Q000000981:diagnostic imaging / Q000503:physiopathology* / Q000601:surgery*; D008955:Models, Cardiovascular; D011474:Prosthesis Design / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D015607:Stents