Multicriterion Compton backscatter imaging
Abstract
A Compton backscatter tomographical imaging model with minimal constraints imposed on the measurement apparatus is presented as a potential contender for on-line portable imaging. The line-scan method based on scattered photon energy spectra can obtain a fairly high scan speed and spatial resolution. As such, radiation scattering imaging (or density reconstruction) is viewed as a nonlinear inverse problem. A solution algorithm is investigated for the density reconstruction problem with two criteria: maximum entropy and least-squares error between the original measurement data and projection due to reconstruction. Image reconstruction from simulations demonstrates the feasibility of the method.
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