Shape Sensing with Electrostatic Differential Capacitance for Ultrasound Imaging by Flexible Array Transducer

Chisato Hojo, Hiroki Kawagishi, Hiroki Shigemune, Ryosuke Tsumura
{"title":"Shape Sensing with Electrostatic Differential Capacitance for Ultrasound Imaging by Flexible Array Transducer","authors":"Chisato Hojo, Hiroki Kawagishi, Hiroki Shigemune, Ryosuke Tsumura","doi":"10.1109/RoboSoft55895.2023.10121984","DOIUrl":null,"url":null,"abstract":"Flexible ultrasound (US) transducer, which has a potential to fit various regions of human body for diagnosis, need to have its geometry accurately measured for US image reconstruction. This paper serves a shape sensing system with the electrostatic differential capacitance for the imaging with the flexible US transducer. The shape sensing system is composed of two strips as a pair, each end of which is fixed, and focuses on the relative shift between capacitance sensors embedded in the inner and outer strips when bending the sensing system. For increasing the capacitance, we applied a silicon oil to the sensor substrate and changed the size of electrodes. Experimental results showed that the estimation error was improved by the average of 52.8% when applying the silicon oil and the average of 10.4% by increasing the size of electrodes. Additionally, US simulation was performed for investigating the influence of image reconstruction due to the sensing error. The simulation results enabled to visualize all point targets and demonstrated the feasibility that the developed sensing system are applicable for the flexible US transducer.","PeriodicalId":250981,"journal":{"name":"2023 IEEE International Conference on Soft Robotics (RoboSoft)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Soft Robotics (RoboSoft)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RoboSoft55895.2023.10121984","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

Flexible ultrasound (US) transducer, which has a potential to fit various regions of human body for diagnosis, need to have its geometry accurately measured for US image reconstruction. This paper serves a shape sensing system with the electrostatic differential capacitance for the imaging with the flexible US transducer. The shape sensing system is composed of two strips as a pair, each end of which is fixed, and focuses on the relative shift between capacitance sensors embedded in the inner and outer strips when bending the sensing system. For increasing the capacitance, we applied a silicon oil to the sensor substrate and changed the size of electrodes. Experimental results showed that the estimation error was improved by the average of 52.8% when applying the silicon oil and the average of 10.4% by increasing the size of electrodes. Additionally, US simulation was performed for investigating the influence of image reconstruction due to the sensing error. The simulation results enabled to visualize all point targets and demonstrated the feasibility that the developed sensing system are applicable for the flexible US transducer.
基于静电差分电容的柔性阵列超声成像形状传感
柔性超声换能器具有适应人体不同部位诊断的潜力,但在超声图像重建中需要对其几何形状进行精确测量。本文设计了一种具有静电差分电容的形状传感系统,用于柔性US换能器的成像。该形状传感系统由两端固定的两条条带成对组成,并重点关注在弯曲传感系统时嵌入内外条带的电容传感器之间的相对位移。为了增加电容,我们在传感器衬底上涂了硅油,并改变了电极的尺寸。实验结果表明,应用硅油时,估计误差平均提高52.8%;增加电极尺寸时,估计误差平均提高10.4%。此外,为了研究感知误差对图像重建的影响,进行了US仿真。仿真结果表明,所开发的传感系统适用于柔性换能器,能够实现所有点目标的可视化。
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