title: Phantom elasticity reconstruction with Digital Image Elasto-Tomography.
abstract: Results from the application of a novel nonlinear hybrid reconstruction algorithm within a Digital Image Elasto-Tomography (DIET) system are presented. A hybrid reconstruction algorithm was optimized to solve for the elasticity distribution of two heterogeneous silicone phantoms using a shape-based parameterization. The hybrid algorithm achieved comparable performance to Combinatorial Optimization methods with significantly less computational expense. The specificity of three-parameter reconstruction was confirmed by successful reconstruction of a homogeneous silicone phantom, indicating the potential suitability of the DIET system for application to inclusion imaging in elastography.
authors.affiliation: Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand. elijah.vanhouten@canterbury.ac.nz
authors.forename: Elijah E W
authors.initials: EE
authors.lastname: Van Houten
authors.forename: Ashton
authors.initials: A
authors.lastname: Peters
authors.forename: J Geoffrey
authors.initials: JG
authors.lastname: Chase
mesh_terms: D000465:Algorithms; D002138:Calibration; D004548:Elasticity; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D017711:Nonlinear Dynamics; D019047:Phantoms, Imaging; D014054:Tomography / Q000295:instrumentation*