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Noise Reduction of medical X-ray Image using Wavelet Threshold in Cone-beam CT  

Park, Jong-Duk (Pusan National University & Biomedical Engr.)
Huh, Young (KERI & Fusion Laboratory Technology Research)
Jin, Seung-Oh (KERI & Fusion Laboratory Technology Research)
Jeon, Sung-Chae (KERI & Fusion Laboratory Technology Research)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.44, no.6, 2007 , pp. 42-48 More about this Journal
Abstract
In x-ray imaging system, two kinds of noises are involved. First, the charge generated from the radiation interaction with the detector during exposure. Second, the signal is then added by readout electronics noise. But, x-ray images are not modeled by Gaussian noise but as the realization of a Poisson process. In this paper, we apply a new approach to remove Poisson noise from medical X-ray image in the wavelet domain, the applied methods shows more excellent results in cone-beam CT.
Keywords
wavelet; x-ray noise; Poisson; denoising;
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