Literature DB >> 18542165

Phase-contrast tomography of single-material objects from few projections.

G R Myers1, D M Paganin, T E Gureyev, S C Mayo.   

Abstract

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.

Mesh:

Year:  2008        PMID: 18542165     DOI: 10.1364/oe.16.000908

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  3 in total

1.  Image reconstruction exploiting object sparsity in boundary-enhanced X-ray phase-contrast tomography.

Authors:  Emil Y Sidky; Mark A Anastasio; Xiaochuan Pan
Journal:  Opt Express       Date:  2010-05-10       Impact factor: 3.894

Review 2.  In-Line Phase-Contrast X-ray Imaging and Tomography for Materials Science.

Authors:  Sheridan C Mayo; Andrew W Stevenson; Stephen W Wilkins
Journal:  Materials (Basel)       Date:  2012-05-24       Impact factor: 3.623

3.  A Realistic Breast Phantom Proposal for 3D Image Reconstruction in Digital Breast Tomosynthesis.

Authors:  Adem Polat; Raziye Kubra Kumrular
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec
  3 in total

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