Synchronized Multi-Helical Computed Tomography

Changsheng Zhang, Guogang Zhu, Jian Fu
{"title":"Synchronized Multi-Helical Computed Tomography","authors":"Changsheng Zhang, Guogang Zhu, Jian Fu","doi":"10.1145/3483845.3483883","DOIUrl":null,"url":null,"abstract":"Limited by the field of view (FOV), most existed X-ray industrial computed tomography (ICT) techniques require multi scans for stitching projections when detecting long objects, which significantly increases the scanning time. In addition, these techniques usually adopt the one-by-one scanning mode that further reduces the scanning efficiency. Therefore, this paper proposes a synchronized multi-helical computed tomography. It allows multi objects to be helical scanned simultaneously without signal crosstalk, while it further improves the detecting efficiency. Besides, the reconstruction method suitable for the synchronized multi-helical CT is reported. This method utilizes projection segmentation and helical projection calibration to convert multi-object helical projections into single-object projections. The generated single-object projection can be then reconstructed by conventional algorithms, e.g. the filtered back projection (FBP). This work can improve the efficiency of CT scanning and will promote the applications of CT in large-scale long object detection.","PeriodicalId":134636,"journal":{"name":"Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3483845.3483883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Limited by the field of view (FOV), most existed X-ray industrial computed tomography (ICT) techniques require multi scans for stitching projections when detecting long objects, which significantly increases the scanning time. In addition, these techniques usually adopt the one-by-one scanning mode that further reduces the scanning efficiency. Therefore, this paper proposes a synchronized multi-helical computed tomography. It allows multi objects to be helical scanned simultaneously without signal crosstalk, while it further improves the detecting efficiency. Besides, the reconstruction method suitable for the synchronized multi-helical CT is reported. This method utilizes projection segmentation and helical projection calibration to convert multi-object helical projections into single-object projections. The generated single-object projection can be then reconstructed by conventional algorithms, e.g. the filtered back projection (FBP). This work can improve the efficiency of CT scanning and will promote the applications of CT in large-scale long object detection.
同步多螺旋计算机断层扫描
现有的x射线工业计算机断层扫描(ICT)技术在检测长物体时,由于视场(FOV)的限制,需要对拼接投影进行多次扫描,这大大增加了扫描时间。此外,这些技术通常采用一对一扫描方式,进一步降低了扫描效率。因此,本文提出了一种同步的多螺旋计算机断层扫描方法。它可以同时对多个目标进行螺旋扫描,没有信号串扰,进一步提高了检测效率。此外,还报道了适用于同步多螺旋CT的重建方法。该方法利用投影分割和螺旋投影标定将多目标螺旋投影转化为单目标投影。生成的单目标投影可以通过传统算法重建,例如滤波后的反投影(FBP)。这项工作可以提高CT扫描的效率,促进CT在大规模长目标检测中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信