On a cylindrical scanning modality in three-dimensional compton scatter tomography

We present injectivity and microlocal analyses of a new generalized Radon transform, R, which has applications to a novel scanner design in threedimensional Compton Scattering Tomography (CST), which we also introduce here. Using Fourier decomposition and Volterra equation theory, we prove that R is injective and show that the image solution is unique. Using microlocal analysis, we prove that R satisfies the Bolker condition (sometimes called the "Bolker assumption" [1]), and we investigate the edge detection capabilities of R. This has important implications regarding the stability of inversion and the amplification of measurement noise. In addition, we present simulated 3-D image reconstructions from Rf data, where f is a 3-D density, with varying levels of added Gaussian noise. This paper provides the theoretical groundwork for 3-D CST using the proposed scanner design.