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Viscous dissipation energy as a risk factor in multiple cerebral aneurysms
-
Alexander K. Khe
,
Alexander P. Chupakhin
Veröffentlicht/Copyright:
3. November 2015
Abstract
The hydrodynamic properties of the blood flow in cerebral vessels with multiple aneurysms are studied in the paper. We compare the sets of parameters derived from the dissipation energy appearing due to the blood viscosity and computed for different aneurysms of one patient. Numerical simulations show that in most cases the dissipation energy and its derived parameters are lower in the case of ruptured aneurysm. Moreover, the average dissipation energy per unit volume is lower in all cases studied here.
Keywords : Hemodynamics; dissipation energy; multiple aneurysms; mathematical modelling; numerical simulation
Received: 2015-6-28
Accepted: 2015-8-25
Published Online: 2015-11-3
Published in Print: 2015-10-1
© 2015 by Walter de Gruyter Berlin/Boston
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Artikel in diesem Heft
- Frontmatter
- Virtual blunt injury of human thorax: age-dependent response of vascular system
- Virtual fractional flow reserve assessment in patient-specific coronary networks by 1D hemodynamic model
- Viscous dissipation energy as a risk factor in multiple cerebral aneurysms
- The study of antitumor efficacy of bevacizumab antiangiogenic therapy using a mathematical model
- A drug pharmacodynamics and pharmacokinetics based approach towards stabilization of HIV infection dynamics
Schlagwörter für diesen Artikel
Hemodynamics;
dissipation energy;
multiple aneurysms;
mathematical modelling;
numerical simulation
Artikel in diesem Heft
- Frontmatter
- Virtual blunt injury of human thorax: age-dependent response of vascular system
- Virtual fractional flow reserve assessment in patient-specific coronary networks by 1D hemodynamic model
- Viscous dissipation energy as a risk factor in multiple cerebral aneurysms
- The study of antitumor efficacy of bevacizumab antiangiogenic therapy using a mathematical model
- A drug pharmacodynamics and pharmacokinetics based approach towards stabilization of HIV infection dynamics
