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Motion Estimation with Finite-Element Biomechanical Models and Tracking Constraints from Tagged MRI

  • Arnold D. GomezEmail author
  • Fangxu Xing
  • Deva Chan
  • Dzung L. Pham
  • Philip Bayly
  • Jerry L. Prince
Conference paper
First Online:

Abstract

Noninvasive measurements of tissue deformation provide biomechanical insights of an organ, which can be used as clinical functional biomarkers or experimental data for validating computational simulations. However, acquisition of 3D displacement information is susceptible to experimental inconsistency and limited scan time. In this research, we describe the process of tracking tagged magnetic resonance imaging (MRI) as enforcing harmonic phase conservation in finite-element (FE) models. This concept is demonstrated as a tool for motion estimation in an experimental brain phantom, and images from the human heart and tongue. Our results demonstrate that the new methodology offers robustness to edge and large-displacement artifacts, and that it can be seamlessly coupled with numerical simulations for estimating fiber stretch in residually stressed tissue, or for inverse identification of muscle activation.

Keywords

Motion Estimation Harmonic Phase Harmonic Peak Fiber Stretch Contractile Stress 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

This research was funded by NIH Grant R01-NS055951, supplement PA12-149, and support by the Center for Neuroscience and Regenerative Medicine.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Arnold D. Gomez
    • 1
    Email author
  • Fangxu Xing
    • 2
  • Deva Chan
    • 3
  • Dzung L. Pham
    • 3
  • Philip Bayly
    • 4
  • Jerry L. Prince
    • 1
  1. 1.Electrical and Computer Engineering DepartmentJohns Hopkins UniversityBaltimoreUSA
  2. 2.Department of RadiologyMassachusetts General Hospital/Harvard Medical SchoolBostonUSA
  3. 3.Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson FoundationBethesdaUSA
  4. 4.Mechanical Engineering DepartmentWashington University in St. LouisSt. LouisUSA

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