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Simulation of soft tissues deformation
A computer graphics model of the human hip joint reconstructed from
magnetic resonance images (MRI) is simulated in motion. Such model is
built combining a conceptual anatomy-based kinematical model of the
joint and a conceptual model of soft tissues deformation, and is
configured from several sources of information. It is then the result
of a hybrid approach, being partially kinematical and partially
biomechanical. The kinematical component defines the bony rigid motion
from measures on the static and dynamic magnetic resonance
images. Then, the biomechanical component computes soft connective
tissues deformation, and allows estimating force exchange and
consequent stress on those soft structures.
Soft and rigid organs are geometrically represented by b-rep in the
form of 3D meshes generated from MRI analysis, which are used for
visualisation and collision detection. In addition, soft ones are
discredited such that a generalised mass-spring model can process and
propagate the deformations. Mass-spring systems are widely used in
Computer Graphics for animation of deformable objects. However,
special considerations had to be taken into account to adapt to
medical applications. Though other extensions have been proposed, like
dynamic volumes associated to the masses that are used for
displacement of liquid inside the tissue, the most important
consideration is the correct biomechanical behaviour of the
biomaterials. A method has been developed to configure the springs
lattice such that our virtual ligaments and cartilages have a
predictable elasticity. Elasticity is defined by the Young's Modulus
(E) of the material; the rheology standard. Other material properties
are also considered, like anisotropy, viscoelasticity, permeability
and so on.
The hip model is then used in simulations where the physical status
of the joint can be assessed. Stress and strain along the tissue are
calculated and can be inspected at any simulation time. An example is
mapping a colour associated to stress values on the cartilage surface
during motion. Another is limiting the joint range of motion to a
stress threshold on specific ligaments. Such simulations allow
understanding possible malfunction of a patient's articulation, and
aid in planning disease treatment.
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