High-frequency wall vibrations in a cerebral patient-specific aneurysm model

Andrea Balasso, Marco Fritzsche, Dieter Liepsch, Sascha Prothmann, Jan Stefan Kirschke, Sergey Sindeev, Sergey Frolov, Benjamin Friedrich

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


The presence of high-frequency velocity fluctuations in aneurysms have been confirmed by in-vivo measurements and by several numerical simulation studies. Only a few studies have located and recorded wall vibrations in in-vitro experiments using physiological patient models. In this study, we investigated the wall fluctuations produced by a flowing perfusion fluid in a true-to-scale elastic model of a cerebral fusiform aneurysm using a laser Doppler vibrometer (LDV). The model was obtained from patient data. The experimental setup reproduced physiologically relevant conditions using a compliant perfusion system, physiological flow parameters, unsteady flow and a non-Newtonian fluid. Three geometrically identical models with different wall elasticities were used for measurements. The influence of five different flow rates was considered. Wall vibrations were predominantly found at frequencies in the range 40-60 Hz and 255-265 Hz. Their amplitude increased with increasing elasticity of the model, but the spectral peaks remained at about the same frequency. Varying the flow rate produced almost no changes in the frequency domain of the models. The frequency of the spectral peaks varied slightly between points at the lateral wall and at the bottom of the aneurysm. Indeed, embedding the model in a fluid during measurements produced higher and smoother amplitude fluctuations.

Original languageEnglish
Pages (from-to)275-284
Number of pages10
JournalBiomedizinische Technik
Issue number3
StatePublished - 1 Jun 2019
Externally publishedYes


  • aneurysm
  • high-frequency vibrations
  • laser Doppler vibrometer
  • non-Newtonian fluid


Dive into the research topics of 'High-frequency wall vibrations in a cerebral patient-specific aneurysm model'. Together they form a unique fingerprint.

Cite this