Abstract ▼ AI-Helper

In the field of dental and medical radiography, there is increasing demand for effective metal artifact reduction in X-ray computed tomography (X-ray CT) because artifact caused by metallic objects causes serious image degradation that obscures information of biological structures in human body.Des...

In the field of dental and medical radiography, there is increasing demand for effective metal artifact reduction in X-ray computed tomography (X-ray CT) because artifact caused by metallic objects causes serious image degradation that obscures information of biological structures in human body.Despite the rapid advances in CT technologies and various works seeking to reduce metal artifacts, metal streaking artifacts continue to pose difficulties, and the development of suitable reduction methods remains challenging.In this thesis, we provide a mathematical analysis of metal artifacts in X-ray CT using the notion of the wavefront set from microlocal analysis for the first time. We also propose a new metal artifact reduction method, which extracts the background data hidden by metal's X-ray data using the Laplacian information. The proposed method improves the image quality of diagnosis in the majority of dental and medical fields.

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