Prof. Kun-Long Shih Profile

Prof. Kun-Long Shih

at National Taipei Univ of Technology

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Proceedings Article | 12 September 2014 Paper

Developments of metal artifact reduction methods of cone-beam computed tomography

Kun-Long Shih, Shih-Chun Jin, Jyh-Cheng Chen

Proceedings Volume 9214, 921403 (2014) https://doi.org/10.1117/12.2064334

KEYWORDS: Metals, Computed tomography, Image quality, Image segmentation, CT reconstruction, MODIS, Sensors, Image interpolation, Neodymium, Electro-optical engineering

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While clinical applications of cone-beam computed tomography (CBCT) have expanded, current CBCT technology has limitations due to the streak artifacts caused by metallic objects. The aim of this work was to develop an efficient and accurate metal data interpolation in sinogram domain to achieve artifact suppression and to improve CT image quality. In this study, we propose three interpolation methods for the metal projection data. Metal objects are segmented in raw data and replacement of the segmented regions by new values is done using three interpolation schemes, (1) replacing the raw data by the simple threshold value (thresholding method), (2) reducing the raw data to half of the value which is over threshold value (modification method), (3) using the inpainting interpolation (inpainting method). Our references are the CBCT images of the phantoms without the metal implants. The performance was evaluated by comparing the differences of root mean square error (RMSE) before and after metal artifact reduction (MAR). All the metal artifacts were reduced effectively. Metal artifacts reduction using method (1) performs the best, which improve the differences of RMSE more than 60%. This study indicates that metal artifacts can be reduced effectively by manipulating metal projection data.

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