
Phase-contrast tomography of single-material objects from few projections
Author(s) -
Glenn R. Myers,
David M. Paganin,
T. E. Gureyev,
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.16.000908
Subject(s) - optics , phase contrast imaging , tomography , phase retrieval , projection (relational algebra) , phase (matter) , contrast (vision) , tomographic reconstruction , sample (material) , structured light 3d scanner , iterative reconstruction , image resolution , resolution (logic) , materials science , physics , phase contrast microscopy , computer science , artificial intelligence , algorithm , fourier transform , scanner , quantum mechanics , thermodynamics
A method is presented for quantitative polychromatic cone-beam phase-contrast tomographic imaging of a single-material object from few projections. This algorithm exploits the natural combination of binary tomography with a phase-retrieval method that makes explicit use of the single-material nature of the sample. Such consistent use of a priori knowledge reduces the number of required projections, implying significantly reduced dose and scanning time when compared to existing phase-contrast tomography methods. Reconstructions from simulated data sets are used to investigate the effects of noise and establish a minimum required number of projections. An experimental demonstration is then given, using data from a point-projection X-ray microscope. Here, the complex distribution of refractive index in a sample containing several nylon fibers with diameters between 100 microm and 420 microm is reconstructed at a spatial resolution of approximately 4 microm from 20 polychromatic phase-contrast projection images with a mean photon energy of 8.4 keV.