Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations

TL;DR

This paper develops a Fourier-based reconstruction method for optical diffraction tomography of a rotating particle with complex, non-uniform motion, enabling improved imaging from arbitrary orientations.

Contribution

It introduces a Fourier diffraction theorem and backprojection formulae that account for non-uniform rotation and motion in optical diffraction tomography.

Findings

Proved a Fourier diffraction theorem for rotating particles.

Derived novel backprojection formulae for complex motion.

Enabled efficient reconstruction using non-uniform Fourier transforms.

Abstract

In this paper, we study the mathematical imaging problem of optical diffraction tomography (ODT) for the scenario of a microscopic rigid particle rotating in a trap created, for instance, by acoustic or optical forces. Under the influence of the inhomogeneous forces the particle carries out a time-dependent smooth, but complicated motion described by a set of affine transformations. The rotation of the particle enables one to record optical images from a wide range of angles, which largely eliminates the "missing cone problem" in optics. This advantage, however, comes at the price that the rotation axis in this scenario is not fixed, but continuously undergoes some variations, and that the rotation angles are not equally spaced, which is in contrast to standard tomographic reconstruction assumptions. In the present work, we assume that the time-dependent motion parameters are known, and that the particle's scattering potential is compatible with making the first order Born or Rytov approximation. We prove a Fourier diffraction theorem and derive novel backprojection formulae for the reconstruction of the scattering potential, which depends on the refractive index distribution inside the object, taking its complicated motion into account. This provides the basis for solving the ODT problem with an efficient non-uniform discrete Fourier transform.