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

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.

KEYWORDS:

• X-ray computed tomography
• cone beam CT
• industry CT system
• flaw inspection
• artefact reduction

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the KAIST GCORE (Global Center for Open Research with Enterprise) grant funded by MSIT.