Motion Estimation with Finite-Element Biomechanical Models and Tracking Constraints from Tagged MRI
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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.
KeywordsMotion Estimation Harmonic Phase Harmonic Peak Fiber Stretch Contractile Stress
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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