Direct inversion of Mojette projections

Imants Svalbe, Andrew Kingston, Jeanpierre Guédon, Nicolas Normand, Shekhar Chandra

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)

    Abstract

    We present algorithms to reconstruct images from minimal sets of discrete Mojette projections using direct back-projection (DBP) with various forms of correction. This paper extends previous work on discrete projection inversion by Servières et al [1, 2, 3]. The number of Mojette projections needed for exact inversion by DBP (EI-DBP) scales as O(N2). A new form of discrete interpolation is developed to expand the point spread function (PSF) of a minimal (Katz-sufficient) set of discrete projections to encompass new directions and thus augment the size of the reconstruction region to which EI-DBP applies. Additionally, we propose a Fourier domain filter for Mojette back-projection that is built from the discrete PSF of the given Mojette angle set and the autocorrelation function of the image domain. These discrete reconstruction methods are targeted for use with noisy sets of real projection data.

    Original languageEnglish
    Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
    PublisherIEEE Computer Society
    Pages1036-1040
    Number of pages5
    ISBN (Print)9781479923410
    DOIs
    Publication statusPublished - 2013
    Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
    Duration: 15 Sept 201318 Sept 2013

    Publication series

    Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

    Conference

    Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
    Country/TerritoryAustralia
    CityMelbourne, VIC
    Period15/09/1318/09/13

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