Computational simulations of the influence of background noise removal in optical-CT imaging of gel dosimeters

Yi Du, Gongyi Yu, Xincheng Xiang, Xiangang Wang*, Yves De Deene

*Corresponding author for this work

    Research output: Contribution to journalConference paperpeer-review

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    Abstract

    Background noise removal is an easy way to diminish the impact of imperfect signals in the projection blank regions in optical CT imaging of gel dosimeters. The influence of this approach to reconstruction accuracy and noise behaviour is assessed by computational simulations using synthetic phantoms. The results show that an offset is induced in the reconstructed phantom region by background noise removal, but the amplitude of the offset is negligible. Also, no apparent noise or artefact patterns are noticeable. We can conclude that the background noise removal method doesn't impact the reconstruction accuracy of filtered backprojection reconstruction algorithm for optical CT imaging.

    Original languageEnglish
    Article number012068
    Pages (from-to)1-5
    Number of pages5
    JournalJournal of Physics: Conference Series
    Volume847
    Issue number1
    DOIs
    Publication statusPublished - 5 Jun 2017
    Event9th International Conference on 3D Radiation Dosimetry - Texas, United States
    Duration: 7 Nov 201610 Nov 2016

    Bibliographical note

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