Title :
An integrative approach to cerebrovascular disease healthcare: IT for cerebral aneurysms
Author :
Watton, Paul N. ; Frangi, Alejandro ; Ventikos, Yiannis
Author_Institution :
Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK
fDate :
June 28 2009-July 1 2009
Abstract :
One of the central themes in addressing vascular disease is connected with the behavior of the arterial wall; its response to stimuli, its remodeling, the growth or stabilization of lesions and the interaction with implants and drugs. For the case of cerebral aneurysms, we are presenting an effort to embed computational simulation models capable of handling such processes within an IT framework that combines imaging, modeling, genetics and clinical medicine in an integrative and comprehensive fashion. The @neurIST project aims at the development of an IT-enabled patient risk assessment and guidelines generation environment, capable of optimized decision support and treatment design. Within this framework, we present mechanobiological models of the vascular wall that account for the interaction of heamodynamics with vascular wall fiber and cell population and behavior.
Keywords :
blood vessels; brain models; cellular biophysics; diseases; haemodynamics; health care; arterial wall; cell population; cerebral aneurysms; cerebrovascular disease; decision support; healthcare; heamodynamics; mechanobiological models; patient risk assessment; vascular wall fiber; Aneurysm; Arteries; Computational modeling; Diseases; Drugs; Embedded computing; Implants; Lesions; Medical services; Medical simulation; Cerebral aneurysms; growth and remodeling; healthcare; information technology; simulation; vascular disease;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193063