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Related Experiment Videos

Method and apparatus for soft tissue material parameter estimation using tissue tagged Magnetic Resonance Imaging.

Kevin F Augenstein1, Brett R Cowan, Ian J LeGrice

  • 1Bioengineering Institute, The University of Auckland, Auckland, New Zealand. k.augenstein@auckland.ac.nz

Journal of Biomechanical Engineering
|May 5, 2005
PubMed
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This study presents a novel Magnetic Resonance Imaging (MRI) method to determine soft tissue properties. The technique accurately estimates passive myocardial material properties using tagged MRI and Finite Element Method (FEM) modeling.

Area of Science:

  • Biomechanics
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Estimating soft tissue constitutive parameters is crucial for understanding tissue mechanics.
  • Magnetic Resonance Imaging (MRI) offers non-invasive visualization but requires advanced methods for material property estimation.
  • Passive myocardial material properties are vital for cardiac function assessment.

Purpose of the Study:

  • To develop and validate an experimental method and apparatus for estimating soft tissue constitutive parameters using MRI.
  • Specifically, to determine passive myocardial material properties.
  • To validate the method using a deformable phantom and preliminary results from an isolated heart.

Main Methods:

  • Acquisition of tagged MRI images with simultaneous pressure recordings during cyclic tissue deformation.

Related Experiment Videos

  • Reconstruction of a 3D displacement field from tagged image motion.
  • Determination of cavity volume changes and tissue microstructure using phase contrast velocity and diffusion tensor MRI.
  • Application of the Finite Element Method (FEM) to solve the finite elasticity problem.
  • Nonlinear optimization to find material parameters that best fit FEM predictions to reconstructed displacements.

    • Main Results:

    • The method was validated using a silicon gel phantom, yielding a material parameter (C1) consistent with independent measurements (MRI: 8.80±0.86 kPa vs. shear apparatus: 8.71±0.06 kPa).
    • The MRI-derived parameter showed regional variation, indicating the method's sensitivity.
    • Preliminary results demonstrated the feasibility of the apparatus and method for isolated heart preparations.

    Conclusions:

    • The developed experimental method and apparatus accurately and reliably estimate constitutive parameters of soft tissue using MRI tagging and FEM.
    • This approach holds significant potential for characterizing myocardial material properties non-invasively.
    • The technique is feasible for applications in isolated heart preparations, paving the way for further cardiac research.