Shape prior metal artifact reduction algorithm for industrial 3D cone-beam CT
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.
Daytime
2022-12-02
(Fri) / 11:00 ~ 12:00
Place
산업경영학동(E2) Room 2216
Language
English
Speaker`s name
Chang-Ock Lee
Speakers`s Affiliation
Korea Advanced Institute of Science and Technology