Generalized Fourier Diffraction Theorem and Filtered Backpropagation for Tomographic Reconstruction

TL;DR

This paper generalizes the Fourier diffraction theorem for diffraction tomography, enabling explicit reconstruction of scattering potential across diverse experimental setups with a new filtered backpropagation method.

Contribution

It introduces a rigorous generalization of the Fourier diffraction theorem in arbitrary dimensions and derives a versatile filtered backpropagation formula for various experimental configurations.

Findings

Established a precise Fourier domain relation for scattering potential reconstruction.

Analyzed Fourier coverage considering object orientation, incidence, and frequency.

Derived a general filtered backpropagation formula for diverse experimental setups.

Abstract

This paper concerns diffraction-tomographic reconstruction of an object characterized by its scattering potential. We establish a rigorous generalization of the Fourier diffraction theorem in arbitrary dimension, giving a precise relation in the Fourier domain between measurements of the scattered wave and reconstructions of the scattering potential. With this theorem at hand, Fourier coverages for different experimental setups are investigated taking into account parameters such as object orientation, direction of incidence and frequency of illumination. Allowing for simultaneous and discontinuous variation of these parameters, a general filtered backpropagation formula is derived resulting in an explicit approximation of the scattering potential for a large class of experimental setups.