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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 20, Iss. 16 — Jul. 30, 2012
  • pp: 17987–18004

Noise reduction with low dose CT data based on a modified ROF model

Yining Zhu, Mengliu Zhao, Yunsong Zhao, Hongwei Li, and Peng Zhang  »View Author Affiliations

Optics Express, Vol. 20, Issue 16, pp. 17987-18004 (2012)

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In order to reduce the radiation exposure caused by Computed Tomography (CT) scanning, low dose CT has gained much interest in research as well as in industry. One fundamental difficulty for low dose CT lies in its heavy noise pollution in the raw data which leads to quality deterioration for reconstructed images. In this paper, we propose a modified ROF model to denoise low dose CT measurement data in light of Poisson noise model. Experimental results indicate that the reconstructed CT images based on measurement data processed by our model are in better quality, compared to the original ROF model or bilateral filtering.

© 2012 OSA

OCIS Codes
(030.4280) Coherence and statistical optics : Noise in imaging systems
(170.7440) Medical optics and biotechnology : X-ray imaging

ToC Category:
Medical Optics and Biotechnology

Original Manuscript: April 16, 2012
Revised Manuscript: July 6, 2012
Manuscript Accepted: July 12, 2012
Published: July 23, 2012

Virtual Issues
Vol. 7, Iss. 9 Virtual Journal for Biomedical Optics

Yining Zhu, Mengliu Zhao, Yunsong Zhao, Hongwei Li, and Peng Zhang, "Noise reduction with low dose CT data based on a modified ROF model," Opt. Express 20, 17987-18004 (2012)

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