Biomedical Engineering Reference
In-Depth Information
Fig. 1.16
Flow in ventricular assist device analysed using plots of wall and viscous shear stress
profiles. Wall shear stress of blood at the near wall surface of the device is demonstrated to have
low orders of magnitudes. The iso-surface shear stress plot in the device chamber pertains to low
viscous shear stress that is experienced by the blood. These results relate to minimal risk of eryth-
rocyte membrane rupture and hemolysis
1.4
Summary
A computational approach to study the human cardiovascular system and blood
flow has been largely driven by the growth in computing power, advancements
in technology, and materialisation of interdisciplinary research. Many advantages
were presented in this chapter. For example the ability to simulate blood flows in
cardiovascular structures after implantation of medical devices that are difficult to
reproduce experimentally. Surgical treatment of human atherosclerotic arteries can
be invasive and the CHD approach can provide a cleaner alternative to plan surgical
procedures and examine feasibilities of medical device implantation. CHD can also
be used as an educational and research tool in many biomedical applications such
as assessment of cardiovascular diseases, R&D of medical cardiac devices, and as-
sistance to surgical procedures to the heart.
Using CHD for biomedical applications is multi-disciplinary, incorporating
medical imaging, computer aided design, computational fluid dynamics, and finite
element method modelling. As such, CHD requires medical engineering trainees to
obtain knowledge subsets from each discipline or field, which is the objective of
this topic. By providing the necessary background material for an understanding of
the architecture of CHD, the reader can attain proficiency in program codes and its
successful operation. In the next chapter, we begin by presenting the anatomy and
physiology of the human cardiovascular system that serves as a base for developing
the computational haemodynamics simulation settings. The primary aim is to sum-
marise the important features of cardiovascular blood flow and how it is incorpo-
rated into a computational model.
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