Optical projection tomography via phase retrieval algorithms

Daniele Ancora; Diego Di Battista; Georgia Giasafaki; Stylianos E Psycharakis; Evangelos Liapis; Jorge Ripoll; Giannis Zacharakis

doi:10.1016/j.ymeth.2017.10.009

Optical projection tomography via phase retrieval algorithms

Methods. 2018 Mar 1:136:81-89. doi: 10.1016/j.ymeth.2017.10.009. Epub 2017 Oct 27.

Authors

Daniele Ancora¹, Diego Di Battista², Georgia Giasafaki³, Stylianos E Psycharakis⁴, Evangelos Liapis³, Jorge Ripoll⁵, Giannis Zacharakis⁶

Affiliations

¹ Institute of Electronic Structure and Laser, Foundation for Research and Technology - Hellas, 70013 Heraklion, Greece; Department of Materials Science and Technology, University of Crete, 71003 Heraklion, Greece.
² Institute of Electronic Structure and Laser, Foundation for Research and Technology - Hellas, 70013 Heraklion, Greece; Assing S.p.A, Monterotondo, 00015 Rome, Italy.
³ Institute of Electronic Structure and Laser, Foundation for Research and Technology - Hellas, 70013 Heraklion, Greece.
⁴ Institute of Electronic Structure and Laser, Foundation for Research and Technology - Hellas, 70013 Heraklion, Greece; School of Medicine, University of Crete, 71003 Heraklion, Greece.
⁵ Department of Bioengineering and Aerospace Engineering, Universidad Carlos III de Madrid, 28911 Madrid, Spain; Instituto de Investigación Sanitaria del Hospital Gregorio Marañón, 28007 Madrid, Spain.
⁶ Institute of Electronic Structure and Laser, Foundation for Research and Technology - Hellas, 70013 Heraklion, Greece. Electronic address: zahari@iesl.forth.gr.

PMID: 29080740
DOI: 10.1016/j.ymeth.2017.10.009

Abstract

We describe a computational method for accurate, quantitative tomographic reconstructions in Optical Projection Tomography, based on phase retrieval algorithms. Our method overcomes limitations imposed by light scattering in opaque tissue samples under the memory effect regime, as well as reduces artifacts due to mechanical movements, misalignments or vibrations. We make use of Gerchberg-Saxton algorithms, calculating first the autocorrelation of the object and then retrieving the associated phase under four numerically simulated measurement conditions. By approaching the task in such a way, we avoid the projection alignment procedure, exploiting the fact that the autocorrelation sinogram is always aligned and centered. We thus propose two new, projection-based, tomographic imaging flowcharts that allow registration-free imaging of opaque biological specimens and unlock three-dimensional tomographic imaging of hidden objects. Two main reconstruction approaches are discussed in the text, focusing on their efficiency in the tomographic retrieval and discussing their applicability under four different numerical experiments.

Keywords: Autocorrelation imaging; Hidden object tomography; Optical projection tomography; Phase retrieval; Registration-free imaging.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Artifacts
Image Enhancement
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Phantoms, Imaging
Tomography / methods*