Fiber Optic Distributed Sensing Network for Shape Sensing-Assisted Epidural Needle Guidance

Epidural anesthesia is a pain management process that requires the insertion of a miniature needle through the epidural space located within lumbar vertebrae. The use of a guidance system for manual insertion can reduce failure rates and provide increased efficiency in the process. In this work, we...

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Autores principales:	Aida Amantayeva, Nargiz Adilzhanova, Aizhan Issatayeva, Wilfried Blanc, Carlo Molardi, Daniele Tosi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	fiber-optic shape sensors optical fiber sensor distributed sensors epidural anesthesia epidural needle smart surgical instruments Biotechnology TP248.13-248.65
Acceso en línea:	https://doaj.org/article/de790d577ff3419395924b6362db6185
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spelling	oai:doaj.org-article:de790d577ff3419395924b6362db61852021-11-25T16:55:31ZFiber Optic Distributed Sensing Network for Shape Sensing-Assisted Epidural Needle Guidance10.3390/bios111104462079-6374https://doaj.org/article/de790d577ff3419395924b6362db61852021-11-01T00:00:00Zhttps://www.mdpi.com/2079-6374/11/11/446https://doaj.org/toc/2079-6374Epidural anesthesia is a pain management process that requires the insertion of a miniature needle through the epidural space located within lumbar vertebrae. The use of a guidance system for manual insertion can reduce failure rates and provide increased efficiency in the process. In this work, we present and experimentally assess a guidance system based on a network of fiber optic distributed sensors. The fibers are mounted externally to the needle, without blocking its inner channel, and through a strain-to-shape detection method reconstruct the silhouette of the epidural device in real time (1 s). We experimentally assessed the shape sensing methods over 25 experiments performed in a phantom, and we observed that the sensing system correctly identified bending patterns typical in epidural insertions, characterized by the different stiffness of the tissues. By studying metrics related to the curvatures and their temporal changes, we provide identifiers that can potentially serve for the (in)correct identification of the epidural space, and support the operator through the insertion process by recognizing the bending patterns.Aida AmantayevaNargiz AdilzhanovaAizhan IssatayevaWilfried BlancCarlo MolardiDaniele TosiMDPI AGarticlefiber-optic shape sensorsoptical fiber sensordistributed sensorsepidural anesthesiaepidural needlesmart surgical instrumentsBiotechnologyTP248.13-248.65ENBiosensors, Vol 11, Iss 446, p 446 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fiber-optic shape sensors optical fiber sensor distributed sensors epidural anesthesia epidural needle smart surgical instruments Biotechnology TP248.13-248.65
spellingShingle	fiber-optic shape sensors optical fiber sensor distributed sensors epidural anesthesia epidural needle smart surgical instruments Biotechnology TP248.13-248.65 Aida Amantayeva Nargiz Adilzhanova Aizhan Issatayeva Wilfried Blanc Carlo Molardi Daniele Tosi Fiber Optic Distributed Sensing Network for Shape Sensing-Assisted Epidural Needle Guidance
description	Epidural anesthesia is a pain management process that requires the insertion of a miniature needle through the epidural space located within lumbar vertebrae. The use of a guidance system for manual insertion can reduce failure rates and provide increased efficiency in the process. In this work, we present and experimentally assess a guidance system based on a network of fiber optic distributed sensors. The fibers are mounted externally to the needle, without blocking its inner channel, and through a strain-to-shape detection method reconstruct the silhouette of the epidural device in real time (1 s). We experimentally assessed the shape sensing methods over 25 experiments performed in a phantom, and we observed that the sensing system correctly identified bending patterns typical in epidural insertions, characterized by the different stiffness of the tissues. By studying metrics related to the curvatures and their temporal changes, we provide identifiers that can potentially serve for the (in)correct identification of the epidural space, and support the operator through the insertion process by recognizing the bending patterns.
format	article
author	Aida Amantayeva Nargiz Adilzhanova Aizhan Issatayeva Wilfried Blanc Carlo Molardi Daniele Tosi
author_facet	Aida Amantayeva Nargiz Adilzhanova Aizhan Issatayeva Wilfried Blanc Carlo Molardi Daniele Tosi
author_sort	Aida Amantayeva
title	Fiber Optic Distributed Sensing Network for Shape Sensing-Assisted Epidural Needle Guidance
title_short	Fiber Optic Distributed Sensing Network for Shape Sensing-Assisted Epidural Needle Guidance
title_full	Fiber Optic Distributed Sensing Network for Shape Sensing-Assisted Epidural Needle Guidance
title_fullStr	Fiber Optic Distributed Sensing Network for Shape Sensing-Assisted Epidural Needle Guidance
title_full_unstemmed	Fiber Optic Distributed Sensing Network for Shape Sensing-Assisted Epidural Needle Guidance
title_sort	fiber optic distributed sensing network for shape sensing-assisted epidural needle guidance
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/de790d577ff3419395924b6362db6185
work_keys_str_mv	AT aidaamantayeva fiberopticdistributedsensingnetworkforshapesensingassistedepiduralneedleguidance AT nargizadilzhanova fiberopticdistributedsensingnetworkforshapesensingassistedepiduralneedleguidance AT aizhanissatayeva fiberopticdistributedsensingnetworkforshapesensingassistedepiduralneedleguidance AT wilfriedblanc fiberopticdistributedsensingnetworkforshapesensingassistedepiduralneedleguidance AT carlomolardi fiberopticdistributedsensingnetworkforshapesensingassistedepiduralneedleguidance AT danieletosi fiberopticdistributedsensingnetworkforshapesensingassistedepiduralneedleguidance
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Fiber Optic Distributed Sensing Network for Shape Sensing-Assisted Epidural Needle Guidance

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