An Improved Reconstruction Technique

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    Abstract

    In this study, we introduce an enhanced algebraic reconstruction method for generating an image from its Radon transform. Our approach enhances the conventional algebraic algorithm by integrating image moments and moments derived from specific sub-images. Both theoretical analysis and experimental outcomes yield two significant observations. Firstly, this novel algorithm consistently yields highly accurate image reconstructions. Secondly, the incorporation of moments from the provided projections enriches the information available about the target image, leading to a reduction in the number of projections necessary compared to traditional reconstruction methods.

    Original languageBritish English
    Title of host publicationDMIP 2023 - Proceedings of the 2023 6th International Conference on Digital Medicine and Image Processing
    Pages25-33
    Number of pages9
    ISBN (Electronic)9798400709425
    DOIs
    StatePublished - 9 Nov 2023
    Event6th International Conference on Digital Medicine and Image Processing, DMIP 2023 - Kyoto, Japan
    Duration: 9 Nov 202312 Nov 2023

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference6th International Conference on Digital Medicine and Image Processing, DMIP 2023
    Country/TerritoryJapan
    CityKyoto
    Period9/11/2312/11/23

    Keywords

    • Limited Data Tomography
    • Moments

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