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《Computer Engineering and Applications》 2012-27
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Medical CT image denoising method based on nonsubsampled Contourlet transform

WANG Hao1,2,KANG Xiaodong1,LIU Lingling1,GENG Jiajia1 1.School of Medical Imaging,Tianjin Medical University,Tianjin 300070,China 2.Department of Interventional Radiology,Affiliated Hospital of Hebei University,Baoding,Hebei 071000,China  
To overcome the Contourlet transform non translation invariance and spectrum aliasing defects,this paper presents a method based on nonsubsampled Contourlet transform for medical CT image denoising method.The noisy CT images are conducted by nonsubsampled Contourlet transform.Transform coefficients are obtained from different scales and different directions.Using Context model,subband of each scale and each direction is graded.Different classification uses the corresponding threshold denoising.Experiments show that this method is suitable to processing the medical CT image which contains more Gaussian noise.Compared with other methods,the PSNR value is improved,the image details are better retained,and CT image quality is improved.
【Fund】: 国家自然科学基金(No.60603027);; 天津市应用基础研究计划(No.05YFJMJC11700)
【CateGory Index】: TP391.41
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