A method for non-invasively generating tomographic images of electron
density in materials using Compton scattered gamma rays is investigate
d. Electron density is an indicator of density or composition changes
in a material. In Compton scatter tomography, the energy distribution
of monoenergetic gamma rays is measured after scattering from a materi
al target, Measuring a scattered gamma ray's energy localizes the scat
tering position to a definable region of the sample. We develop an ana
lytic computational model to study the image quality of a realistic sy
stem. In particular, the deleterious effects of finite source and dete
ctor size, Compton broadening, and Poisson noise are investigated. A b
ackprojection algorithm is presented to demonstrate the impact of thes
e effects on image reconstruction and contrast recovery. Detection of
corrosion in low-Z materials is an application of interest, and is use
d to study the Compton scatter tomography technique.