Denoising of cone beam CT image using wavelet transform

Yi-Qiang Yang; Nobuyuki Nakamori; Yasuo Yoshida; Takanori Tsunoo; Masahiro Endo; Kazumasa Sato

doi:10.1117/12.467064

9 May 2002 Denoising of cone beam CT image using wavelet transform

Yi-Qiang Yang, Nobuyuki Nakamori, Yasuo Yoshida, Takanori Tsunoo, Masahiro Endo, Kazumasa Sato

Proceedings Volume 4684, Medical Imaging 2002: Image Processing; (2002) https://doi.org/10.1117/12.467064
Event: Medical Imaging 2002, 2002, San Diego, California, United States

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.

Citation Download Citation

Yi-Qiang Yang, Nobuyuki Nakamori, Yasuo Yoshida, Takanori Tsunoo, Masahiro Endo, and Kazumasa Sato "Denoising of cone beam CT image using wavelet transform", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467064

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