Ashton Peters

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The application of a surface motion error based elasticity estimation method to hard and soft silicone phantom data is presented. Steady-state harmonic surface motion was measured at a limited number of measurement sites, and fitted with an ideal damped motion path. A finite element (FE) model was used to simulate phantom motion at a range of modulus and(More)
Results from the application of a Digital Image Elasto-Tomography (DIET) system to elasticity distribution estimation in heterogeneous phantoms are presented. Two simple phantoms comprising distinct hard and soft regions were created from silicone, with harmonic surface motion data captured using a steady-state stereo imaging setup. A two-parameter approach(More)
Results from the application of three nonlinear stiffness reconstruction algorithms to two simple cylindrical geometries are presented in this paper. Finite-element simulated harmonic motion data with added noise were initially used to represent a measured surface displacement dataset for each geometry. This motion was used as input to gradient-descent,(More)
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