Space-time inverse-scattering of translation-based motion

TL;DR

This paper introduces a space-time inverse-scattering method for optical diffraction tomography that compensates for translational motion of samples during data collection, improving image quality and accuracy.

Contribution

It presents a novel joint optimization approach to estimate sample motion and reconstruct accurate 3D refractive index distributions in dynamic conditions.

Findings

Reduced artifacts in reconstructed images

Enhanced spatial resolution

Improved quantitative accuracy

Abstract

In optical diffraction tomography (ODT), a sample's 3D refractive-index (RI) is often reconstructed after illuminating it from multiple angles, with the assumption that the sample remains static throughout data collection. When the sample undergoes dynamic motion during this data-collection process, significant artifacts and distortions compromise the fidelity of the reconstructed images. In this study, we develop a space-time inverse-scattering technique for ODT that compensates for the translational motion of multiple-scattering samples during data collection. Our approach involves formulating a joint optimization problem to simultaneously estimate a scattering sample's translational position at each measurement and its motion-corrected 3D RI distribution. Experimental results demonstrate the technique's effectiveness, yielding reconstructions with reduced artifacts, enhanced spatial resolution, and improved quantitative accuracy for samples undergoing continuous translational motion during imaging.