SIA OpenIR  > 工业控制网络与系统研究室
一种基于引导滤波的CT锥角伪影去除方法研究
Alternative TitleA removal method of CT cone angle artifact on the basis of guided filter
佟丽霞1; 李双学1; 楼珊珊1; 程景烨1; 臧传治2
Department工业控制网络与系统研究室
Source Publication中国医学装备
ISSN1672-8270
2020
Volume17Issue:7Pages:21-24
Contribution Rank2
Funding Organization国家自然科学基金(U1708261)“医用多级能谱CT低剂量精准成像新方法及管件技术研究”
Keyword锥角伪影 锥形束CT(CBCT) 滤波反投影 权重函数 引导滤波
Abstract

目的:在锥形束CT(CBCT)扫描中设计一种高信噪比去除锥角伪影方法,以提高螺旋大锥角宽检测器的图像质量。方法:从数据使用角度分析螺旋锥角伪影产生的原因,通过对产生螺旋锥角伪影的数据进行不同的加权处理,使用加权滤波反投影算法,分别得到高信噪比有锥角伪影图像和低信噪比无锥角伪影图像,针对低信噪比图像结合高信噪比图像使用引导滤波的方式实现高信噪比锥角伪影的去除。结果:通过使用临床数据对加权滤波反投影算法与原始算法进行对比,图像中的锥角伪影得到了有效抑制,同时保持了原有重建方法的信噪比。结论:高信噪比去除锥角伪影方法在大锥角重建时能够在保证高信噪比图像时有效抑制锥角伪影,提高螺旋大锥角宽检测器的图像质量。

Other Abstract

Objective: To design a high signal-to-noise ratio (SNR) method that could remove cone angle artifacts in spiral scanning so as to improve the image quality for spirally large cone angle detectors. Methods: This article analyzed the causes of spiral cone angle artifacts from using data. Through implemented different weighted approach for these data that produced spiral cone angle artifacts, and used weighted filtering back-projection algorithms to obtain high SNR images with cone angle artifact and low SNR images without cone angle artifacts. The low SNR images combined with high SNR images to use guided filtering mode so as to realize the remove for cone angle artifacts of high SNR images. Results: Through used clinical data to compare weighted filtering back-projection algorithms and original algorithms. And the cone angle artifacts in the image were effectively suppressed. At the same time, the SNR of former reconstruction method was maintained. Conclusion: The high SNR method for removing cone angle artifacts can effectively suppress cone angle artifacts and improve image quality of spiral detector with large cone angle when ensures high SNR images.

Language中文
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/27364
Collection工业控制网络与系统研究室
Corresponding Author臧传治
Affiliation1.东软医疗系统股份有限公司
2.中国科学院沈阳自动化研究所
Recommended Citation
GB/T 7714
佟丽霞,李双学,楼珊珊,等. 一种基于引导滤波的CT锥角伪影去除方法研究[J]. 中国医学装备,2020,17(7):21-24.
APA 佟丽霞,李双学,楼珊珊,程景烨,&臧传治.(2020).一种基于引导滤波的CT锥角伪影去除方法研究.中国医学装备,17(7),21-24.
MLA 佟丽霞,et al."一种基于引导滤波的CT锥角伪影去除方法研究".中国医学装备 17.7(2020):21-24.
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