Iterative reconstruction via preserved structures approach for CT images with limited scan angles

Anush Kolakalur, Branislav Vuksanovic

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    Iterative image reconstruction techniques for computer tomography (CT) are finite iterations of forward-projections and backward projections. One of the major concerns related to this method is deterioration of the reconstructed images due to various image structure deformations during this procedure. This is usually manifested by blotchy and pixelated appearances of the reconstructed image with the effects becoming more pronounced for low and ultra-low scan angles. This paper proposes a new approach for the reconstruction of CT images ensuring the preservation of structural details and reduced image deterioration and deformation. We call this method iterative reconstruction through preserved structures (IR-PS). The results achieved using proposed IR-PS method are evaluated via RMSE (Root Mean Square Error) measure and SSIM (Structural SIMiliarity) index suggesting improvement in quality of reconstructed images.
    Original languageEnglish
    Title of host publicationIMIP '19: Proceedings of the 2019 International Conference on Intelligent Medicine and Image Processing
    PublisherAssociation for Computing Machinery
    Pages72-77
    Number of pages6
    ISBN (Print)978-1-4503-6269-6
    DOIs
    Publication statusPublished - 22 Apr 2019
    Event3rd International Conference on Frontiers of Image Processing - Florence, Italy
    Duration: 16 Mar 201918 Mar 2019
    http://www.icfip.org/

    Conference

    Conference3rd International Conference on Frontiers of Image Processing
    Abbreviated titleICFIP 2019
    Country/TerritoryItaly
    CityFlorence
    Period16/03/1918/03/19
    Internet address

    Keywords

    • computed tomography
    • iterative image reconstruction
    • image degradation
    • limited scan angle
    • CT reconstruction

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