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

Author

Dakua, S.P. ; Navkar, Nikhil V. ; Abi-Nahed, J. ; Groen, Derek ; Bernabeu, M.O. ; Saghir, M.A.R. ; Kamel, Hany ; Al-Ansari, Abdulla ; Coveney, Peter V.

Author_Institution

Qatar Robotic Surg. Centre, Doha, Qatar

fYear

2014

fDate

17-20 Feb. 2014

Firstpage

281

Lastpage

284

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.

Keywords

biomedical MRI; brain; computerised tomography; data acquisition; diseases; geriatrics; haemodynamics; medical disorders; medical image processing; neurophysiology; patient treatment; stents; adult population; aneurysm geometry processing; blood flow simulation; brain; cerebral aneurysm diagnosis; cerebral vessels; clinical treatment decisions; clinical workflow model; computational system; computational workflow; data-acquisition; endovascular interventionists; model pipeline; stent-related treatment; subarachnoid hemorrhage; Aneurysm; Blood; Computational modeling; Geometry; Image segmentation; Predictive models; Solid modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering (MECBME), 2014 Middle East Conference on

Conference_Location

Doha

Type

conf

DOI

10.1109/MECBME.2014.6783259

Filename

6783259