title: Parameterized computational imaging: Data driven computational modeling for image extension.
abstract: Parameterized Computational Imaging (PCI) allows for a continuous, portable and remote imaging of physiology without the continuous need of complex imaging systems. The method trades complex imaging equipment for computing power and potentially wireless measured parameters. The PCI algorithm uses a baseline image along with computational models to calculate physically measurable parameters. As the physically measurable parameters change the computational model is iteratively run until computationally predicted parameters matches the measured values. Swarm optimization routines are implemented to accelerate the process of finding the new values. A gelatin model with circular object is presented to demonstrate the PCI algorithm's ability to locate the circular object from four voltage measurements.
authors: University of Idaho, USA. photonthunder@gmail.com
authors: Daniel J
authors: DJ
authors: Evans
authors: Mark L
authors: ML
authors: Manwaring
authors: Terence
authors: T
authors: Soule
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003201:Computers; D003952:Diagnostic Imaging / Q000295:instrumentation* / Q000379:methods; D017097:Electric Impedance; D004560:Electricity; D004566:Electrodes; D004867:Equipment Design; D005780:Gelatin / Q000737:chemistry; D006801:Humans; D016571:Neural Networks, Computer; D012984:Software; D013997:Time Factors; D014057:Tomography, X-Ray Computed / Q000295:instrumentation
chemical_list: D005780:Gelatin