CBCT image denoising based on multi-scale wavelet transform

Author

Yin, Yong ; Yu, Gang ; Wang, Hongjun ; Liu, Zhi ; Li, Dengwang

Author_Institution

Dept. of Radiat. Oncology, Shandong Tumor Hosp., Jinan, China

Volume

1

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

150

Lastpage

153

Abstract

Cone-Beam Computed Tomography (CBCT) has always been in the forefront of medical image processing. The denoising as a image pre-processing, has a great affected on the image analysis and recognition. In this paper, a new algorithm for image denoising was proposed. By thresholding the interscale wavelet coefficient magnitude sum(WCMS) within a cone of influence (COI), the wavelet coefficients are classified into 2 categories: irregular coefficients, and edge-related and regular coefficients. They are processed by different ways. Meanwhile according to the projection image sequences characteristics in CBCT system, an effective noise variance estimated methods was proposed. The experiment shows that our algorithm can improve PSNR form 1.3dB to 2.6dB, and the image border is more clearly.

Keywords

computerised tomography; image denoising; image recognition; image sequences; medical image processing; cone of influence; cone-beam computed tomography; image analysis; image denoising algorithm; image noise variance; image preprocessing; image recognition; medical image processing; multiscale wavelet transform; projection image sequence; Classification algorithms; Image denoising; Image edge detection; Image reconstruction; Noise; Noise reduction; Wavelet coefficients; CBCT; WT; denoising;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6495-1

Type

conf

DOI

10.1109/BMEI.2010.5639460

Filename

5639460