Wednesday, May 19th, 2021. Time: 12 noon
ONLINE! – Link for online session: https://meet.google.com/qjo-sttx-dgo
ABSTRACT
Metal artifact reduction has become a challenging issue for practical X-ray CT applications since metal artifacts severely cause contrast degradation and the misinterpretation of information about the property and structure of a scanned object. In this talk, we propose a methodology to reduce metal artifacts by extending the method proposed by Jeon and Lee (2018) to a three-dimensional industrial cone beam CT system. We develop a registration technique managing the three dimensional data in order to find accurate segmentation regions needed for the proposed algorithm. Through various simulations and experiments, we verify that the proposed algorithm reduces metal artifacts successfully.
SPEAKER CV
Associate Professor/Professor at the Department of Mathematical Sciences, KAIST, Daejeon (South Korea) since 2007. General Council Member, International Association of Computational Mechanics (IACM) since 2017. Member of the editorial board of the Journal of the Korean Mathematical Society. Director Global Institute for Talented Education (KAIST, Daejeon, Korea) during the period 2017-2019.
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