基于多阈值分割和B样条插值的CT图像金属伪影去除方法研究  

Research on metal artifacts reduction for CT image based on multi-threshold segmentation and B-spline interpolation

作　　者：李长春[1] 李元金[2] Li Changchun;Li Yuanjin(School of Information Engineering,Chuzhou Polytechnic University,Chuzhou 239000,China;School of Computer and Information,Chuzhou University,Chuzhou 239000,China)

机构地区：[1]滁州职业技术学院信息工程学院,滁州239000 [2]滁州学院计算机与信息工程学院,滁州239000

出　　处：《电子测量与仪器学报》2020年第7期128-132,共5页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金(2017YFC0107900);安徽省教育厅重点研究项目(KJ2019A1136,KJ2018A0431);安徽省高校优秀青年骨干人才国内外访学研修项目(gxfx2018077);安徽省质量工程校企合作示范实训中心项目(2019xqsxzx31)资助。

摘　　要：为了解决重建后CT(computed tomography)图像中出现的金属伪影问题,提出了基于多阈值分割和B样条插值的CT图像金属伪影去除方法。首先,介绍了CT图像中金属伪影产生的原因;然后详细剖析基于多阈值分割和B样条插值的CT图像金属伪影去除方法实施过程;最后,使用于基于多阈值分割和B样条插值的CT图像金属伪影去除方法对含有金属伪影的临床CT图像和模拟phantom图像进行实验。实验表明,提出的CT图像金属伪影去除方法能够有效地对CT图像中的金属伪影进行减少或去除,这将为医务工作诊断病灶提供了清晰的CT图像。To solve the problem of metal artifacts in reconstructed CT images, a method based on multi-threshold segmentation and B-spline interpolation is proposed to remove metal artifacts in CT images. Firstly, the causes of metal artifacts in CT images are introduced. Secondly, the implementation process of metal artifacts reduction method of CT image based on multi-threshold segmentation and B-spline interpolation is analyzed in detail. Finally, this approach is tested on clinical CT and simulated phantom images. Experiments show that the proposed metal artifact removal approach can effectively reduce or remove the metal artifacts in CT images, which provides clear CT images for the diagnosis of lesions in medical work.

关 键 词：多阈值分割 B样条插值 均值滤波 CT图像 金属伪影去除 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]