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Comput Biomech Med Algorithms Models Appl (2017). 2017 May;2017:81-90. doi: 10.1007/978-3-319-54481-6_7.

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

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Electrical and Computer Engineering Department, Johns Hopkins University, Baltimore, USA.
Deparment of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, USA.
Center for Neuroscience and Regenerative Medicine, Henry Jackson Foundation, Bethesda, USA.
Mechanical Engineering Department, Washington University in St. Louis, St. Louis, USA.


Noninvasive measurements of tissue deformation provide bio-mechanical 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 a brain motion phantom, the heart, and the 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.

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