Key result
A polynomial least-squares fitting method for strain computation from sparse marker arrays was accurate and robust, with errors smaller or comparable to the gold standard finite element method.
Population
Analytical test case (deforming cylinder resembling the heart) and in vivo ovine data
Comparison
Polynomial least-squares fitting method for… vs Previously suggested finite element method
Design
Preclinical
Authors
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May facilitate strain analysis in preclinical cardiac models; leaves open translation to human applications.
A novel polynomial least-squares fitting method provides accurate and robust computation of transmural myocardial strain from sparse marker arrays.
Kindberg et al. (2006) studied Cardiac kinematics. Polynomial least-squares fitting method for strain computation vs. Finite element method was evaluated on Strain computation accuracy and robustness. A polynomial least-squares fitting method for strain computation from sparse marker arrays was accurate and robust, with errors smaller or comparable to the gold standard finite element method.
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