Page 209 - Computational Modeling in Biomedical Engineering and Medical Physics

198 Computational Modeling in Biomedical Engineering and Medical Physics

Soft tissue

Rotula Femur
Joint cavity
Permanent
magnet
Tibia

(A) (B)
Figure 6.23 A bidimensional model of the MDT therapy at the knee level. (A) The sagittal cross-
section through the knee. (B) Magnetic flux density spectrum.

Figure 6.24 A three dimensional model of the MDT therapy at the knee level. (A) The reconstruc-
tion of the knee. (B) The computational domain—a PM array is added.

the magnetic body forces. As expected, higher magnetic forces are associated with
regions of higher magnetic energy gradients. Similar predictions for different arrange-
ments PM arrays are detailed in Manea (2015).
Such information may help in optimizing the magnetic field used to control the
MDT. To this same aim, computational domains produced through reconstruction
techniques correlated with proper sizing and positioning of magnets, as this study
advocates, may enhance the precision and efficiency of the treatment for personalized
models (knee size, joint positioning, etc.).