Paper
17 March 2006 Metal artifacts reduction in CT images through Euler's elastica and curvature based sinogram inpainting
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Abstract
Metal artifacts arise in CT images when X-rays traverse the high attenuating objects such as metal bodies. Portions of projection data become unavailable. In this paper, we present an Euler's elastica and curvature based sinogram inpainting (EECSI) algorithm for metal artifacts reduction, where "inpainting" is a synonym for "image interpolation". In EECSI, the unavailable data are regarded as occlusion and can be inpainted inside the inpainting domain based on elastica interpolants. Numerical simulations demonstrate that, compared to conventional interpolation methods, the algorithm proposed connects the unavailable projection region more smoothly and accurately, thus better reduces metal artifacts and more accurately reveals cross section structures, especially in the immediate neighborhood of the metallic objects.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianwei Gu, Li Zhang, Guoqiang Yu, Yuxiang Xing, and Zhiqiang Chen "Metal artifacts reduction in CT images through Euler's elastica and curvature based sinogram inpainting", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614465 (17 March 2006); https://doi.org/10.1117/12.650137
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CITATIONS
Cited by 9 scholarly publications and 9 patents.
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KEYWORDS
Metals

X-ray computed tomography

Lithium

Reconstruction algorithms

Numerical simulations

X-rays

Signal attenuation

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