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采用局部相位的Nonlocal低剂量CT图像去噪
引用本文:郝立巍,程远雄,汪天富,陈思平. 采用局部相位的Nonlocal低剂量CT图像去噪[J]. 华中科技大学学报(自然科学版), 2012, 40(7): 42-46
作者姓名:郝立巍  程远雄  汪天富  陈思平
作者单位:1. 深圳大学生物医学工程系,广东深圳518060/南方医科大学生物医学工程学院,广东广州510515
2. 南方医科大学附属南方医院,广东广州,510515
3. 深圳大学生物医学工程系,广东深圳,518060
基金项目:国家自然科学基金重点资助项目,国家自然科学基金资助项目,广东省省部产学研结合项目,2011年深圳市基础研究项目
摘    要:通过引入局部相位特征,提出了一种新的基于NL-means的低剂量CT图像去噪算法.在非局部滤波器中引入局部相位,设计新的图像子块相似性测度函数,用于低剂量CT图像的去噪.通过与其他4种流行的去噪算法进行模拟图像数值比较,并对真实图像去噪进行临床评价,结果表明:所提出的方法在对低剂量CT图像去除噪声的同时,能保留具有重要诊断价值的CT图像特征,如边界、囊肿区及低密度区等.量化及临床实验结果表明所提出的算法能有效地滤除低剂量CT图像中的噪声并保留图像中有用的诊断信息.

关 键 词:CT图像  图像去噪  非局部方法  局部相位  测度函数

Denoising of Nonlocal low dose CT images based on local phase
Hao Liwei,a Cheng Yuanxiong,b Wang Tianfu,Chen Siping. Denoising of Nonlocal low dose CT images based on local phase[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 2012, 40(7): 42-46
Authors:Hao Liwei  a Cheng Yuanxiong  b Wang Tianfu  Chen Siping
Affiliation:1(1The Department of Biomedical Engineering,Shenzhen University,Shenzhen 518060,Guangdong China;2aSchool of Biomedical Engineering;b Southern Hospital,Southern Medical University,Guangzhou 510515,China)
Abstract:By introducing local phase feature,an enhanced Nonlocal(NL)-means algorithm for noise reduction in low dose computed tomography(LDCT)images was proposed.The similarity measure in NL-means was modified such that neighborhoods with similar phase response receive a larger weight.Compared with four other denoising methods,superior performance was shown in experiments carried out on synthetic images and better restoration of disease features(edges,cystic areas,low-density areas,etc.)was concluded in clinically visual comparisons on real LDCT images.Both quantitative results and clinical evaluation validate good performances of the proposed method in denoising and preserving structural information of LDCT images.
Keywords:computed tomography(CT)images  image denoising  Nonlocal-means  local phase  measure function
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