journal article·2021-03-04

Shape prior metal artefact reduction algorithm for industrial 3D cone beam CT

Soomin Jeon, Seongeun Kim, Chang-Ock Lee

Publisher page

Abstract

Metal artefact reduction has become a challenging issue for practical X-ray CT applications since metal artefacts severely cause contrast degradation and the misinterpretation of information about the property and structure of a scanned object. In this paper, we propose a methodology to reduce metal artefacts in 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 artefacts successfully.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced X-ray and CT Imaging · Medical Imaging Techniques and Applications · Radiation Dose and Imaging

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mathematical Sciences, KAIST, Daejeon, South Korea

Funding

Ministry of Science and ICT

References (23)

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