Invertibility of the Fourier Diffraction Relation in Raster Scan Diffraction Tomography
Peter Elbau, Noemi Naujoks
TL;DR
This work analyzes the invertibility of the Fourier diffraction relation in raster-scan diffraction tomography with focused beams. By formulating a detailed forward model under the Born approximation and deriving a Fourier diffraction relation, the authors introduce coupling sets $F_y$ and a graph-theoretic framework to study unique recoverability of Fourier coefficients across dimensions. They prove that in dimensions $d\ge3$, all Fourier coefficients involved are generically uniquely determined from the data, while in $d=2$ recoverability is restricted and non-uniqueness arises on a substantial region; in 3D a determinant-based local solvability argument supports robust reconstructibility under mild nondegeneracy conditions. The results provide a rigorous understanding of the theoretical limits of raster-scan diffraction tomography and guide the development of reconstruction algorithms in practical imaging systems.
Abstract
Diffraction tomography aims to recover an object's scattering potential from measured wave fields. In the classical setting, the object is illuminated by plane waves from many directions, and the Fourier diffraction theorem gives a direct relation between the Fourier transform of the scattering potential of the object and the Fourier transformed measurements. In many practical imaging systems, however, focused beams are used instead of plane waves. These beams are then translated across the object to bring different regions of interest into focus. The Fourier diffraction relation adapted to this setting differs in one crucial point from the plane-wave case: while certain Fourier coefficients of the measurements still directly correspond to individual Fourier coefficients of the scattering potential, others are given by linear combinations of two Fourier coefficients of the scattering potential. This article investigates which Fourier coefficients of the scattering potential can be uniquely recovered from these relations. We show that in dimensions higher than two, all coefficients appearing in the equations are typically uniquely determined. In two dimensions, however, only part of the Fourier coverage is uniquely recoverable, while on the remaining subset, distinct coefficients can produce identical data.
