ct metal artifact reduction method based on improved image segmentation and sinogram in-painting

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ID: 174205
2012
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Abstract
The streak artifacts caused by metal implants degrade the image quality and limit the applications of CT imaging. The standard method used to reduce these metallic artifacts often consists of interpolating the missing projection data but the result is often a loss of image quality with additional artifacts in the whole image. This paper proposes a new strategy based on a three-stage process: (1) the application of a large-scale non local means filter (LS-NLM) to suppress the noise and enhance the original CT image, (2) the segmentation of metal artifacts and metallic objects using a mutual information maximized segmentation algorithm (MIMS), (3) a modified exemplar-based in-painting technique to restore the corrupted projection data in sinogram. The final corrected image is then obtained by merging the segmented metallic object image with the filtered back-projection (FBP) reconstructed image from the in-painted sinogram. Quantitative and qualitative experiments have been conducted on both a simulated phantom and clinical CT images and a comparative study has been led with Bal's algorithm that proposed a similar segmentation-based method.
Reference Key
chen2012mathematicalct Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Yang Chen;Yinsheng Li;Hong Guo;Yining Hu;Limin Luo;Xindao Yin;Jianping Gu;Christine Toumoulin
Journal journal of power sources
Year 2012
DOI
10.1155/2012/786281
URL
http://dx.doi.org/10.1155/2012/786281
Keywords
civil engineering (general)mathematics engineering (general)

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