Three-dimensional needle-tip localization by electric field potential and camera hybridization for needle electromyography exam robotic simulator

Siyu He,1 Jose Gomez-Tames,1 Wenwei Yu1,2 1Medical System Engineering Department, Graduate School of Engineering, 2Center for Frontier Medical Engineering, Chiba University, Chiba, Japan Abstract: As one of neurological tests, needle electromygraphy exam (NEE) plays an important role to evaluate the...

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Autores principales:	He SY, Gomez-Tames J, Yu WW
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2016
Materias:	Needle tip localization Needle EMG Exam top-hat transform tissue-like phantom voltage distribution simulation Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/7bb608b224c44d4da7ef110959addac8
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spelling	oai:doaj.org-article:7bb608b224c44d4da7ef110959addac82021-12-02T04:24:01ZThree-dimensional needle-tip localization by electric field potential and camera hybridization for needle electromyography exam robotic simulator1179-1470https://doaj.org/article/7bb608b224c44d4da7ef110959addac82016-06-01T00:00:00Zhttps://www.dovepress.com/three-dimensional-needle-tip-localization-by-electric-field-potential--peer-reviewed-article-MDERhttps://doaj.org/toc/1179-1470Siyu He,1 Jose Gomez-Tames,1 Wenwei Yu1,2 1Medical System Engineering Department, Graduate School of Engineering, 2Center for Frontier Medical Engineering, Chiba University, Chiba, Japan Abstract: As one of neurological tests, needle electromygraphy exam (NEE) plays an important role to evaluate the conditions of nerves and muscles. Neurology interns and novice medical staff need repetitive training to improve their skills in performing the exam. However, no training systems are able to reproduce multiple pathological conditions to simulate real needle electromyogram exam. For the development of a robotic simulator, three components need to be realized: physical modeling of upper limb morphological features, position-dependent electromyogram generation, and needle localization; the latter is the focus of this study. Our idea is to couple two types of sensing mechanism in order to acquire the needle-tip position with high accuracy. One is to segment the needle from camera images and calculate its insertion point on the skin surface by a top-hat transform algorithm. The other is voltage-based depth measurement, in which a conductive tissue-like phantom was used to realize both needle-tip localization and physical sense of needle insertion. For that, a pair of electrodes was designed to generate a near-linear voltage distribution along the depth direction of the tissue-like phantom. The accuracy of the needle-tip position was investigated by the electric field potential and camera hybridization. The results showed that the needle tip could be detected with an accuracy of 1.05±0.57 mm. Keywords: needle-tip localization, needle EMG exam, top-hat transform, tissue-like phantom, voltage distribution simulationHe SYGomez-Tames JYu WWDove Medical PressarticleNeedle tip localizationNeedle EMG Examtop-hat transformtissue-like phantomvoltage distribution simulationMedical technologyR855-855.5ENMedical Devices: Evidence and Research, Vol 2016, Iss Issue 1, Pp 143-150 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Needle tip localization Needle EMG Exam top-hat transform tissue-like phantom voltage distribution simulation Medical technology R855-855.5
spellingShingle	Needle tip localization Needle EMG Exam top-hat transform tissue-like phantom voltage distribution simulation Medical technology R855-855.5 He SY Gomez-Tames J Yu WW Three-dimensional needle-tip localization by electric field potential and camera hybridization for needle electromyography exam robotic simulator
description	Siyu He,1 Jose Gomez-Tames,1 Wenwei Yu1,2 1Medical System Engineering Department, Graduate School of Engineering, 2Center for Frontier Medical Engineering, Chiba University, Chiba, Japan Abstract: As one of neurological tests, needle electromygraphy exam (NEE) plays an important role to evaluate the conditions of nerves and muscles. Neurology interns and novice medical staff need repetitive training to improve their skills in performing the exam. However, no training systems are able to reproduce multiple pathological conditions to simulate real needle electromyogram exam. For the development of a robotic simulator, three components need to be realized: physical modeling of upper limb morphological features, position-dependent electromyogram generation, and needle localization; the latter is the focus of this study. Our idea is to couple two types of sensing mechanism in order to acquire the needle-tip position with high accuracy. One is to segment the needle from camera images and calculate its insertion point on the skin surface by a top-hat transform algorithm. The other is voltage-based depth measurement, in which a conductive tissue-like phantom was used to realize both needle-tip localization and physical sense of needle insertion. For that, a pair of electrodes was designed to generate a near-linear voltage distribution along the depth direction of the tissue-like phantom. The accuracy of the needle-tip position was investigated by the electric field potential and camera hybridization. The results showed that the needle tip could be detected with an accuracy of 1.05±0.57 mm. Keywords: needle-tip localization, needle EMG exam, top-hat transform, tissue-like phantom, voltage distribution simulation
format	article
author	He SY Gomez-Tames J Yu WW
author_facet	He SY Gomez-Tames J Yu WW
author_sort	He SY
title	Three-dimensional needle-tip localization by electric field potential and camera hybridization for needle electromyography exam robotic simulator
title_short	Three-dimensional needle-tip localization by electric field potential and camera hybridization for needle electromyography exam robotic simulator
title_full	Three-dimensional needle-tip localization by electric field potential and camera hybridization for needle electromyography exam robotic simulator
title_fullStr	Three-dimensional needle-tip localization by electric field potential and camera hybridization for needle electromyography exam robotic simulator
title_full_unstemmed	Three-dimensional needle-tip localization by electric field potential and camera hybridization for needle electromyography exam robotic simulator
title_sort	three-dimensional needle-tip localization by electric field potential and camera hybridization for needle electromyography exam robotic simulator
publisher	Dove Medical Press
publishDate	2016
url	https://doaj.org/article/7bb608b224c44d4da7ef110959addac8
work_keys_str_mv	AT hesy threedimensionalneedletiplocalizationbyelectricfieldpotentialandcamerahybridizationforneedleelectromyographyexamroboticsimulator AT gomeztamesj threedimensionalneedletiplocalizationbyelectricfieldpotentialandcamerahybridizationforneedleelectromyographyexamroboticsimulator AT yuww threedimensionalneedletiplocalizationbyelectricfieldpotentialandcamerahybridizationforneedleelectromyographyexamroboticsimulator
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Three-dimensional needle-tip localization by electric field potential and camera hybridization for needle electromyography exam robotic simulator

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