Open AccessThe binary dissector: phase contrast tomography of two- and three-material objects from few projections
Author(s) -
Glenn R. Myers,
T. E. Gureyev,
David M. Paganin,
Sheridan C Mayo
Publication year - 2008
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.16.010736
Subject(s) - optics , tomography , projection (relational algebra) , iterative reconstruction , contrast (vision) , tomographic reconstruction , microscope , phase (matter) , materials science , phase contrast imaging , binary number , image quality , resolution (logic) , image resolution , noise (video) , computer vision , artificial intelligence , computer science , physics , phase contrast microscopy , mathematics , image (mathematics) , algorithm , arithmetic , quantum mechanics
In X-ray computed tomography (CT) increased information requirements (e.g. increased resolution) typically lead to a concurrent increase in the required number of viewing angles, scanning time and delivered dose. We demonstrate that using phase-contrast imaging it is possible to "dissect" two- and three-material objects into their component materials, which in combination with binary tomographic techniques allows us to satisfy increased information requirements without taking the usual images at additional viewing angles. This imaging scheme reduces the scanning time and dose delivered to samples by at least an order of magnitude when compared to conventional X-ray CT. The effects of noise on our reconstruction scheme are investigated for simulated data. Finally, a slice through a glass tube filled with silica and water is reconstructed from 18 projection images taken on an X-ray ultra Microscope (XuM).