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Proceedings Paper

Denoising of cone beam CT image using wavelet transform
Author(s): Yi-Qiang Yang; Nobuyuki Nakamori; Yasuo Yoshida; Takanori Tsunoo; Masahiro Endo; Kazumasa Sato
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Paper Abstract

We have developed a method to remove the noise from the cone beam CT image and consider the reduction of a patient's dose. In diagnostic medicine, cone beam CT increases a patient' exposure dose. The X-ray CT image is degraded by the noise that is called quantum mottle, and the noise becomes so remarkable with decreasing patient' dose. It is known that the image signal can be separated from the noise by measuring the Lipschitz exponents of the image singularities from the evolution of wavelet transform modulus maxima across scales. We identify the singularities of 2-D projections by computing the wavelet transform modulus sum (WTMS) in the direction which is indicated by the phase of wavelet transform. Our preliminary results show the validity of the method based on 2-D WTMS for removing quantum mottle from 2-D projection. And it shows the possibility that the patient's dose can be reduced by this method.

Paper Details

Date Published: 9 May 2002
PDF: 8 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467064
Show Author Affiliations
Yi-Qiang Yang, Kyoto Institute of Technology (Japan)
Nobuyuki Nakamori, Kyoto Institute of Technology (Japan)
Yasuo Yoshida, Kyoto Institute of Technology (Japan)
Takanori Tsunoo, National Institute of Radiological Sciences (Japan)
Masahiro Endo, National Institute of Radiological Sciences (Japan)
Kazumasa Sato, Sony Corp. (Japan)


Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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