• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

机器人CT:工业孪生机器人CT系统的现状与当前挑战

RoboCT: The State and Current Challenges of Industrial Twin Robotic CT Systems.

作者信息

Herl Gabriel, Wittl Simon, Jung Alexander, Handke Niklas, Weiss Anton, Eberhorn Markus, Oeckl Steven, Zabler Simon

机构信息

Technology Campus Plattling, Deggendorf Institute of Technology, Dieter-Görlitz-Platz 1, 94469 Deggendorf, Germany.

Fraunhofer EZRT, Flugplatzstraße 75, 90768 Fürth, Germany.

出版信息

Sensors (Basel). 2025 May 13;25(10):3076. doi: 10.3390/s25103076.

DOI:10.3390/s25103076
PMID:40431869
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12116137/
Abstract

Twin robotic X-ray computed tomography (CT) refers to CT systems in which two robotic arms are used to independently move the X-ray source and the X-ray detector around the object. This setup enables flexible CT scans by using robots to move the X-ray source and the X-ray detector around an object's region of interest. This allows scans of large objects, image quality optimization and scan time reduction. Despite these advantages, robotic CT systems still face challenges that limit their widespread adoption. This paper discusses the state of twin robotic CT and its current main challenges. These challenges include the optimization of scanning trajectories, precise geometric calibration and advanced 3D reconstruction techniques.

摘要

双机器人X射线计算机断层扫描(CT)是指使用两个机器人手臂围绕物体独立移动X射线源和X射线探测器的CT系统。这种设置通过使用机器人围绕物体的感兴趣区域移动X射线源和X射线探测器,实现了灵活的CT扫描。这使得能够对大型物体进行扫描、优化图像质量并减少扫描时间。尽管有这些优点,但机器人CT系统仍然面临一些限制其广泛应用的挑战。本文讨论了双机器人CT的现状及其当前的主要挑战。这些挑战包括扫描轨迹的优化、精确的几何校准和先进的三维重建技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/15e438deb5ce/sensors-25-03076-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/e5f29c501f8e/sensors-25-03076-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/10122b2a3d70/sensors-25-03076-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/9ff109bbeabd/sensors-25-03076-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/560c885f6b6e/sensors-25-03076-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/1f5da718064a/sensors-25-03076-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/7c35baaa78b5/sensors-25-03076-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/15e438deb5ce/sensors-25-03076-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/e5f29c501f8e/sensors-25-03076-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/10122b2a3d70/sensors-25-03076-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/9ff109bbeabd/sensors-25-03076-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/560c885f6b6e/sensors-25-03076-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/1f5da718064a/sensors-25-03076-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/7c35baaa78b5/sensors-25-03076-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa82/12116137/15e438deb5ce/sensors-25-03076-g004.jpg

相似文献

1
RoboCT: The State and Current Challenges of Industrial Twin Robotic CT Systems.机器人CT:工业孪生机器人CT系统的现状与当前挑战
Sensors (Basel). 2025 May 13;25(10):3076. doi: 10.3390/s25103076.
2
Accurate technique for complete geometric calibration of cone-beam computed tomography systems.用于锥束计算机断层扫描系统完全几何校准的精确技术。
Med Phys. 2005 Apr;32(4):968-83. doi: 10.1118/1.1869652.
3
Cone-beam imaging with tilted rotation axis: Method and performance evaluation.倾斜旋转轴的锥束成像:方法与性能评估。
Med Phys. 2020 Aug;47(8):3305-3320. doi: 10.1002/mp.14209. Epub 2020 May 22.
4
Static coded aperture in robotic X-ray tomography systems.机器人X射线断层扫描系统中的静态编码孔径。
Opt Express. 2022 Feb 28;30(5):7677-7693. doi: 10.1364/OE.449505.
5
Adaptive zooming in X-ray computed tomography.X 射线计算机断层扫描中的自适应缩放。
J Xray Sci Technol. 2014;22(1):77-89. doi: 10.3233/XST-130410.
6
The effect of tin prefiltration on extremity cone-beam CT imaging with a twin robotic X-ray system.锡预过滤对双机械臂 X 射线系统的肢体锥形束 CT 成像的影响。
Radiography (Lond). 2022 May;28(2):433-439. doi: 10.1016/j.radi.2021.10.009. Epub 2021 Oct 27.
7
Reduction of cone-beam CT artifacts in a robotic CBCT device using saddle trajectories with integrated infrared tracking.利用带有集成红外跟踪的鞍形轨迹降低机器人锥形束 CT 设备中的伪影。
Med Phys. 2024 Mar;51(3):1674-1686. doi: 10.1002/mp.16943. Epub 2024 Jan 15.
8
Auto calibration of a cone-beam-CT.锥形束 CT 的自动校准。
Med Phys. 2012 Oct;39(10):5959-70. doi: 10.1118/1.4739247.
9
Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's state-of-the-art.锥形束计算机断层扫描中的源探测器轨迹优化:当前技术的全面综述。
Phys Med Biol. 2022 Aug 16;67(16). doi: 10.1088/1361-6560/ac8590.
10
Dose reduction potential in cone-beam CT imaging of upper extremity joints with a twin robotic x-ray system.双机械臂 X 射线系统在上肢关节锥形束 CT 成像中的剂量降低潜力。
Sci Rep. 2021 Oct 11;11(1):20176. doi: 10.1038/s41598-021-99748-1.

本文引用的文献

1
DRACO: differentiable reconstruction for arbitrary CBCT orbits.DRACO:用于任意CBCT轨道的可微重建
Phys Med Biol. 2025 Mar 20;70(7). doi: 10.1088/1361-6560/adbb50.
2
Investigations into the Geometric Calibration and Systematic Effects of a Micro-CT System.微型计算机断层扫描系统的几何校准及系统效应研究
Sensors (Basel). 2024 Aug 8;24(16):5139. doi: 10.3390/s24165139.
3
Enabling 3D CT-scanning of cultural heritage objects using only in-house 2D X-ray equipment in museums.仅使用博物馆内部的二维X射线设备对文化遗产进行三维CT扫描。
Nat Commun. 2024 May 14;15(1):3939. doi: 10.1038/s41467-024-48102-w.
4
Fully automatic online geometric calibration for non-circular cone-beam CT orbits using fiducials with unknown placement.使用具有未知位置的基准标记进行非圆锥形束 CT 轨道的全自动在线几何校准。
Med Phys. 2024 May;51(5):3245-3264. doi: 10.1002/mp.17041. Epub 2024 Apr 4.
5
Reduction of cone-beam CT artifacts in a robotic CBCT device using saddle trajectories with integrated infrared tracking.利用带有集成红外跟踪的鞍形轨迹降低机器人锥形束 CT 设备中的伪影。
Med Phys. 2024 Mar;51(3):1674-1686. doi: 10.1002/mp.16943. Epub 2024 Jan 15.
6
A nonconvex model-based combined geometric calibration scheme for micro cone-beam CT with irregular trajectories.一种基于非凸模型的微锥束CT不规则轨迹联合几何校准方案。
Med Phys. 2023 May;50(5):2759-2774. doi: 10.1002/mp.16257. Epub 2023 Feb 11.
7
Deep learning tomographic reconstruction through hierarchical decomposition of domain transforms.通过域变换的层次分解进行深度学习断层重建。
Vis Comput Ind Biomed Art. 2022 Dec 9;5(1):30. doi: 10.1186/s42492-022-00127-y.
8
Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's state-of-the-art.锥形束计算机断层扫描中的源探测器轨迹优化:当前技术的全面综述。
Phys Med Biol. 2022 Aug 16;67(16). doi: 10.1088/1361-6560/ac8590.
9
Fast CBCT Reconstruction using Convolutional Neural Networks for Arbitrary Robotic C-arm Orbits.使用卷积神经网络实现任意机器人C型臂轨道的快速CBCT重建。
Proc SPIE Int Soc Opt Eng. 2022 Feb-Mar;12031. doi: 10.1117/12.2612935. Epub 2022 Apr 4.
10
Feature-based CBCT self-calibration for arbitrary trajectories.基于特征的任意轨迹锥形束 CT 自校准。
Int J Comput Assist Radiol Surg. 2022 Nov;17(11):2151-2159. doi: 10.1007/s11548-022-02645-9. Epub 2022 May 20.