Title :
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
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;
Conference_Titel :
Biomedical Engineering (MECBME), 2014 Middle East Conference on
Conference_Location :
Doha
DOI :
10.1109/MECBME.2014.6783259
