中北大学学报（自然科学版）2018，Vol.39Issue(2)：170-176,7.DOI:10.3969/j.issn.1673-3193.2018.02.011
基于残差图分解与平滑块排列的低剂量CT投影降噪算法
Sinogram Noise Reduction for Low-dose CT Based on Residual Image Decomposition and Smooth Patch Ordering
摘要
Abstract
Aiming at the problem that low-dose CT (Computed Tomography)images tend to be severely degraded,an algorithm of smooth patch ordering (SPO)is applied to sinogram noise reduction for low-dose CT.Additionally,the performance of the SPO algorithm is further improved by decomposing the residual image and extracting the structure information of the image.Firstly,the SPO approach is ap-plied to sinogram filtering for low-dose CT to produce an initial denoised proj ection.Then,the residual image is decomposed into the structure and the noise parts by the improved morphological component a-nalysis (MCA)method.The structure part extracted from the residual image,as a compensation image,is added back to the denoised proj ection to generate a new denoised proj ection.Finally,the reconstruc-ted image for low-dose CT is obtained by performing filtered-back proj ection (FBP)from the new de-noised proj ection.The results from computer experiments demonstrate that the proposed method per-forms better not only in noise suppression,but also in edge,detail and structure preservation,when compare with traditional reconstruction algorithms for low-dose CT.关键词
低剂量CT/形态分量分析/平滑块排列/残差图分解/投影降噪/结构保持Key words
low-dose CT/morphological component analysis/smooth patch ordering/residual image de-composition/sinogram noise reduction/structure preservation分类
信息技术与安全科学引用本文复制引用
王燕玲,薛敏,邵燕灵,刘祎,张权,陈燕,桂志国..基于残差图分解与平滑块排列的低剂量CT投影降噪算法[J].中北大学学报（自然科学版）,2018,39(2):170-176,7.基金项目
国家重大科学仪器设备开发专项资助项目(2014YQ24044508) （2014YQ24044508）
国家自然科学基金资助项目(61671413,61771433) （61671413,61771433）
电子测试技术重点实验室开放基金资助项目(ZDSYSJ2015006) （ZDSYSJ2015006）
山西省回国留学人员科研资助项目(2016-085) （2016-085）
山西省自然科学基金资助项目(201601D011003) （201601D011003）
中北大学校基金资助项目(XJJ2016019) （XJJ2016019）
