Page 193 - Computational Modeling in Biomedical Engineering and Medical Physics

182 Computational Modeling in Biomedical Engineering and Medical Physics

Hemodynamic and magnetic field driven mass transfer in larger vessels
Simplified computational domains are valuable as a first step in the MDT analysis
(Voltairasetal.,2002). More realistic scenarios, obtained using computational domains
constructed using medical images, are recently available, and they may provide for
more thorough, patient-related studies (Morega et al., 2009; Shamloo et al., 2019). For
instance, using a set of MRI images, a computational domain that renders an arterial tree,
embedded in a deformable muscular volume, was built to be used in predicting the inter-
action of the hemodynamic flow with a stationary magnetic field produced by an
implanted PM (Morega et al., 2010; Dobre, 2012). Following the steps outlined in
Chapter 3, Computational Domains, the blood volume is singled out using a segmenta-
tion tool, and morphological tools and boolean operations are then used to construct the
vascular (arterial) tree. The final 3D solid model is processed to produce the computa-
tional domain. The PM and the embedding volume are CAD-built. The two con-
structs—image-based and CAD—are then fused, Fig. 6.6, and FEM meshed (Morega
et al., 2010).
Keeping with the continuous media hypothesis, the MD and the blood, behave
as a homogeneous MAF. In an external magnetic field, the occurring magnetiza-
tion body forces may influence its flow. Here, the interactions between the flow,
the vessel wall and the embedding tissue are coupled one-way only: the flow pres-
sure field deforms the vessel wall, hence the embedding tissue, and not
reciprocally.

Figure 6.6 The main stages to obtaining a more realistic computational domain constructed using
a DICOM dataset and a CAD part.