Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Automated angular and translational tomographic alignment and application to phase-contrast imaging

Not Accessible

Your library or personal account may give you access

Abstract

X-ray computerized tomography (CT) is a 3D imaging technique that makes use of x-ray illumination and image reconstruction techniques to reproduce the internal cross-sections of a sample. Tomographic projection data usually require an initial relative alignment or knowledge of the exact object position and orientation with respect to the detector. As tomographic imaging reaches increasingly better resolution, thermal drifts, mechanical instabilities, and equipment limitations are becoming the main dominant factors contributing to sample positioning uncertainties that will further introduce reconstruction artifacts and limit the attained resolution in the final tomographic reconstruction. Alignment algorithms that require manual interaction impede data analysis with ever-increasing data acquisition rates, supplied by more brilliant sources. We present in this paper an iterative reconstruction algorithm for wrapped phase projection data and an alignment algorithm that automatically takes 5 degrees of freedom, including the possible linear and angular motion errors, into consideration. The presented concepts are applied to simulated and real measured phase-contrast data, exhibiting a possible improvement in the reconstruction resolution. A MATLAB implementation is made publicly available and will allow robust analysis of large volumes of phase-contrast tomography data.

© 2017 Optical Society of America

Full Article  |  PDF Article
More Like This
Phase tomography from x-ray coherent diffractive imaging projections

Manuel Guizar-Sicairos, Ana Diaz, Mirko Holler, Miriam S. Lucas, Andreas Menzel, Roger A. Wepf, and Oliver Bunk
Opt. Express 19(22) 21345-21357 (2011)

Joint iterative reconstruction and 3D rigid alignment for X-ray tomography

K. Pande, J. J. Donatelli, D. Y. Parkinson, H. Yan, and J. A. Sethian
Opt. Express 30(6) 8898-8916 (2022)

Theory of quantitative phase-contrast computed tomography

Andrei V. Bronnikov
J. Opt. Soc. Am. A 19(3) 472-480 (2002)

Supplementary Material (1)

NameDescription
Code 1       MATLAB scripts for automatic tomographic alignment and reconstruction of phase-contrast data.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (18)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (33)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved