Literature DB >> 21060512

Comparison of the filtered backpropagation and the filtered backprojection algorithms for quantitative tomography.

T C Wedberg, J J Stamnes, W Singer.   

Abstract

We compare the filtered backpropagation algorithm with the filtered backprojection algorithm for reconstructing the complex refractive-index distribution of semitransparent, cylindrical objects. Before reconstruction, the recorded scattered light is propagated back to the reconstruction area by inverse diffraction. Our comparison is based on computer-simulated data, and experimental optical data obtained from fibers with step-index, graded-index, and uniform-index distributions. The results show that both the filtered backpropagation algorithm and the filtered backprojection algorithm can produce accurate reconstructions of the complex refractive-index distribution as long as the weak-scattering approximation is valid. The good agreement between the results obtained from these two reconstruction algorithms indicates that the errors introduced by the assumption of straight-line propagation inside the object are negligible compared with those introduced by the weak-scattering approximation.

Year:  1995        PMID: 21060512     DOI: 10.1364/AO.34.006575

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  4 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-19       Impact factor: 11.205

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3.  ODTbrain: a Python library for full-view, dense diffraction tomography.

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4.  Interferometric mapping of material properties using thermal perturbation.

Authors:  Georges Goetz; Tong Ling; Tushar Gupta; Seungbum Kang; Jenny Wang; Patrick D Gregory; B Hyle Park; Daniel Palanker
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-26       Impact factor: 11.205

  4 in total

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