mri引导的脊髓细胞注射机器人的超分辨率定位改进

D. E. Martinez, Waiman Meinhold, J. Oshinski, Ai-Ping Hu, J. Ueda
{"title":"mri引导的脊髓细胞注射机器人的超分辨率定位改进","authors":"D. E. Martinez, Waiman Meinhold, J. Oshinski, Ai-Ping Hu, J. Ueda","doi":"10.1142/S2424905X2140002X","DOIUrl":null,"url":null,"abstract":"This paper presents the development of a magnetic resonance imaging (MRI)-conditional needle positioning robot designed for spinal cellular injection. High-accuracy targeting performance is achieved by the combination of a high precision, parallel-plane, needle-orientation mechanism utilizing linear piezoelectric actuators with an iterative super-resolution (SR) visual navigation algorithm using multi-planar MR imaging. In previous work, the authors have developed an MRI conditional robot with positioning performance exceeding the standard resolution of MRI, rendering the MRI resolution the limit for navigation. This paper further explores the application of SR to images for robot guidance, evaluating positioning performance through simulations and experimentally in benchtop and MRI experiments.","PeriodicalId":447761,"journal":{"name":"J. Medical Robotics Res.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Super Resolution for Improved Positioning of an MRI-Guided Spinal Cellular Injection Robot\",\"authors\":\"D. E. Martinez, Waiman Meinhold, J. Oshinski, Ai-Ping Hu, J. Ueda\",\"doi\":\"10.1142/S2424905X2140002X\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the development of a magnetic resonance imaging (MRI)-conditional needle positioning robot designed for spinal cellular injection. High-accuracy targeting performance is achieved by the combination of a high precision, parallel-plane, needle-orientation mechanism utilizing linear piezoelectric actuators with an iterative super-resolution (SR) visual navigation algorithm using multi-planar MR imaging. In previous work, the authors have developed an MRI conditional robot with positioning performance exceeding the standard resolution of MRI, rendering the MRI resolution the limit for navigation. This paper further explores the application of SR to images for robot guidance, evaluating positioning performance through simulations and experimentally in benchtop and MRI experiments.\",\"PeriodicalId\":447761,\"journal\":{\"name\":\"J. Medical Robotics Res.\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Medical Robotics Res.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S2424905X2140002X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Medical Robotics Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S2424905X2140002X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文介绍了一种用于脊髓细胞注射的磁共振成像(MRI)条件针定位机器人的研制。利用线性压电作动器的高精度、平行平面、针状定向机构与多平面磁共振成像的迭代超分辨率视觉导航算法相结合,实现了高精度瞄准性能。在之前的工作中,作者开发了一种MRI条件机器人,其定位性能超过了MRI的标准分辨率,使MRI分辨率成为导航的极限。本文进一步探讨了SR在机器人导航图像中的应用,通过模拟和实验在台式和MRI实验中评估定位性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Super Resolution for Improved Positioning of an MRI-Guided Spinal Cellular Injection Robot
This paper presents the development of a magnetic resonance imaging (MRI)-conditional needle positioning robot designed for spinal cellular injection. High-accuracy targeting performance is achieved by the combination of a high precision, parallel-plane, needle-orientation mechanism utilizing linear piezoelectric actuators with an iterative super-resolution (SR) visual navigation algorithm using multi-planar MR imaging. In previous work, the authors have developed an MRI conditional robot with positioning performance exceeding the standard resolution of MRI, rendering the MRI resolution the limit for navigation. This paper further explores the application of SR to images for robot guidance, evaluating positioning performance through simulations and experimentally in benchtop and MRI experiments.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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