In vitro strain measurements in cerebral aneurysm models for cyber-physical diagnosis

Chaoyang Shi, Masahiro Kojima, Hitomi Anzai, Carlos Tercero, Seiichi Ikeda, Makoto Ohta, Toshio Fukuda, Fumihito Arai, Zoran Najdovski, Makoto Negoro, Keiko Irie

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Background: The development of new diagnostic technologies for cerebrovascular diseases requires an understanding of the mechanism behind the growth and rupture of cerebral aneurysms. To provide a comprehensive diagnosis and prognosis of this disease, it is desirable to evaluate wall shear stress, pressure, deformation and strain in the aneurysm region, based on information provided by medical imaging technologies. Methods: In this research, we propose a new cyber-physical system composed of in vitro dynamic strain experimental measurements and computational fluid dynamics (CFD) simulation for the diagnosis of cerebral aneurysms. A CFD simulation and a scaled-up membranous silicone model of a cerebral aneurysm were completed, based on patient-specific data recorded in August 2008. In vitro blood flow simulation was realized with the use of a specialized pump. A vision system was also developed to measure the strain at different regions on the model by way of pulsating blood flow circulating inside the model. Results: Experimental results show that distance and area strain maxima were larger near the aneurysm neck (0.042 and 0.052), followed by the aneurysm dome (0.023 and 0.04) and finally the main blood vessel section (0.01 and 0.014). These results were complemented by a CFD simulation for the addition of wall shear stress, oscillatory shear index and aneurysm formation index. Diagnosis results using imaging obtained in August 2008 are consistent with the monitored aneurysm growth in 2011. Conclusion: The presented study demonstrates a new experimental platform for measuring dynamic strain within cerebral aneurysms. This platform is also complemented by a CFD simulation for advanced diagnosis and prediction of the growth tendency of an aneurysm in endovascular surgery.

Original languageEnglish
Pages (from-to)213-222
Number of pages10
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
Volume9
Issue number2
DOIs
Publication statusPublished - 2013 Jun

Keywords

  • Cerebral aneurysm diagnosis
  • Cerebral aneurysm prognosis
  • Computational fluid dynamics
  • Cyber-physical system
  • In vitro strain measurements for cerebral aneurysm

ASJC Scopus subject areas

  • Surgery
  • Biophysics
  • Computer Science Applications

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