Ring artifacts removal from synchrotron CT image slices

笛卡尔坐标系 极坐标系 傅里叶变换 小波变换 计算机视觉 人工智能 计算机科学 对角线的 光学 小波 物理 数学 几何学 数学分析
作者
Zhouping Wei,Sheldon Wiebe,Dean Chapman
出处
期刊:Journal of Instrumentation [IOP Publishing]
卷期号:8 (06): C06006-C06006 被引量:35
标识
DOI:10.1088/1748-0221/8/06/c06006
摘要

Ring artifacts can occur in reconstructed images from x-ray Computerized Tomography (CT) as full or partial concentric rings superimposed on the scanned structures. Due to the data corruption by those ring artifacts in CT images, qualitative and quantitative analysis of these images are compromised. In this paper, we propose to correct the ring artifacts on the reconstructed synchrotron radiation (SR) CT image slices. The proposed correction procedure includes the following steps: (1). transform the reconstructed CT images into polar coordinates; (2) apply discrete two-dimensional (2D) wavelet transform to the polar image to decompose it into four image components: low pass band image component, as well as the components from horizontal, vertical and diagonal details bands; (3). apply 2D Fourier transform to the vertical details band image component only, since the ring artifacts become vertical lines in the polar coordinates; (4). apply Gaussian filtering in Fourier domain along the abscissa direction to suppress the vertical lines, since the information of the vertical lines in Fourier domain is completely condensed to that direction; (5). perform inverse Fourier transform to get the corrected vertical details band image component; (6). perform inverse wavelet transform to get the corrected polar image; (7). transform the corrected polar image back to Cartesian coordinates to get the CT image slice with reduced ring artifacts. This approach has been successfully used on CT data acquired from the Biomedical Imaging and Therapy (BMIT) beamline in Canadian Light Source (CLS), and the results show that the ring artifacts in original SR CT images have been effectively suppressed with all the structure information in the image preserved.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
田様应助耍酷问兰采纳,获得10
2秒前
糯米发布了新的文献求助10
2秒前
蔡丽发布了新的文献求助10
3秒前
毓纡发布了新的文献求助30
4秒前
木叶完成签到,获得积分10
4秒前
DDD完成签到,获得积分10
4秒前
无花果应助侯_采纳,获得10
5秒前
书记发布了新的文献求助10
5秒前
san完成签到,获得积分10
5秒前
闲花煮茶完成签到,获得积分10
6秒前
汉堡包应助孤独的问凝采纳,获得10
7秒前
上官若男应助苗儿采纳,获得10
8秒前
科研dog发布了新的文献求助30
8秒前
8秒前
9秒前
越过山丘发布了新的文献求助10
9秒前
9秒前
阿烨完成签到,获得积分10
9秒前
可爱的大米完成签到,获得积分20
10秒前
10秒前
糯米完成签到,获得积分10
11秒前
11秒前
yyy发布了新的文献求助10
12秒前
奔腾小马发布了新的文献求助10
13秒前
punchline2025完成签到,获得积分10
13秒前
耍酷问兰发布了新的文献求助10
14秒前
97发布了新的文献求助10
14秒前
14秒前
希望天下0贩的0应助jias采纳,获得10
14秒前
Wangle发布了新的文献求助10
15秒前
15秒前
科研通AI6应助可爱的大米采纳,获得30
15秒前
无极微光应助害羞的芙蓉采纳,获得20
15秒前
17秒前
17秒前
17秒前
17秒前
19秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1581
以液相層析串聯質譜法分析糖漿產品中活性雙羰基化合物 / 吳瑋元[撰] = Analysis of reactive dicarbonyl species in syrup products by LC-MS/MS / Wei-Yuan Wu 1000
Biology of the Reptilia. Volume 21. Morphology I. The Skull and Appendicular Locomotor Apparatus of Lepidosauria 600
The Scope of Slavic Aspect 600
Foregrounding Marking Shift in Sundanese Written Narrative Segments 600
Rousseau, le chemin de ronde 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5540506
求助须知:如何正确求助?哪些是违规求助? 4627108
关于积分的说明 14602337
捐赠科研通 4568126
什么是DOI,文献DOI怎么找? 2504382
邀请新用户注册赠送积分活动 1481998
关于科研通互助平台的介绍 1453645