Acoustic sensing of tissue-tool interactions – potential applications in arthroscopic surgery

Arthroscopic surgery is a technically challenging but common minimally invasive procedure with a long learning curve and a high incidence of iatrogenic damage. These damages can occur due to the lack of feedback and supplementary information regarding tissue-instrumentcontact during surgery. Deliber...

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Autores principales: Sühn Thomas, Pandey Ajay, Friebe Michael, Illanes Alfredo, Boese Axel, Lohman Christoph
Formato: article
Lenguaje:EN
Publicado: De Gruyter 2020
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Acceso en línea:https://doaj.org/article/545099776395420a9aac91a0cc13b2af
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spelling oai:doaj.org-article:545099776395420a9aac91a0cc13b2af2021-12-05T14:10:43ZAcoustic sensing of tissue-tool interactions – potential applications in arthroscopic surgery2364-550410.1515/cdbme-2020-3152https://doaj.org/article/545099776395420a9aac91a0cc13b2af2020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3152https://doaj.org/toc/2364-5504Arthroscopic surgery is a technically challenging but common minimally invasive procedure with a long learning curve and a high incidence of iatrogenic damage. These damages can occur due to the lack of feedback and supplementary information regarding tissue-instrumentcontact during surgery. Deliberately performed interactions can be used however to obtain clinically relevant information, e.g. when a surgeon uses the tactile feedback to assess the condition of articular cartilage. Yet, the perception of such events is highly subjective. We propose a novel proximally attached sensing concept applied to arthroscopic surgery to allow an objective characterization and utilization of interactions. It is based on acoustic emissions which originate from tissue-instrument-contact, that propagate naturally via the instrument shaft and that can be obtained by a transducer setup outside of the body. The setup was tested on its ability to differentiate various conditions of articular cartilage. A femoral head with varying grades of osteoarthritic cartilage was tapped multiple times ex-vivo with a conventional Veress needle with a sound transducer attached at the outpatient end. A wavelet-based processing of the obtained signals and subsequent analysis of distribution of spectral energy showed the potential of tool-tissue-interactions to characterize different cartilage conditions. The proposed concept needs further evaluation with a dedicated design of the palpation tool and should be tested in realistic arthroscopic scenarios.Sühn ThomasPandey AjayFriebe MichaelIllanes AlfredoBoese AxelLohman ChristophDe Gruyterarticleosteoarthritiscartilage classificationsurgical instrumentminimally invasive surgeryaudio guidanceMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 595-598 (2020)
institution DOAJ
collection DOAJ
language EN
topic osteoarthritis
cartilage classification
surgical instrument
minimally invasive surgery
audio guidance
Medicine
R
spellingShingle osteoarthritis
cartilage classification
surgical instrument
minimally invasive surgery
audio guidance
Medicine
R
Sühn Thomas
Pandey Ajay
Friebe Michael
Illanes Alfredo
Boese Axel
Lohman Christoph
Acoustic sensing of tissue-tool interactions – potential applications in arthroscopic surgery
description Arthroscopic surgery is a technically challenging but common minimally invasive procedure with a long learning curve and a high incidence of iatrogenic damage. These damages can occur due to the lack of feedback and supplementary information regarding tissue-instrumentcontact during surgery. Deliberately performed interactions can be used however to obtain clinically relevant information, e.g. when a surgeon uses the tactile feedback to assess the condition of articular cartilage. Yet, the perception of such events is highly subjective. We propose a novel proximally attached sensing concept applied to arthroscopic surgery to allow an objective characterization and utilization of interactions. It is based on acoustic emissions which originate from tissue-instrument-contact, that propagate naturally via the instrument shaft and that can be obtained by a transducer setup outside of the body. The setup was tested on its ability to differentiate various conditions of articular cartilage. A femoral head with varying grades of osteoarthritic cartilage was tapped multiple times ex-vivo with a conventional Veress needle with a sound transducer attached at the outpatient end. A wavelet-based processing of the obtained signals and subsequent analysis of distribution of spectral energy showed the potential of tool-tissue-interactions to characterize different cartilage conditions. The proposed concept needs further evaluation with a dedicated design of the palpation tool and should be tested in realistic arthroscopic scenarios.
format article
author Sühn Thomas
Pandey Ajay
Friebe Michael
Illanes Alfredo
Boese Axel
Lohman Christoph
author_facet Sühn Thomas
Pandey Ajay
Friebe Michael
Illanes Alfredo
Boese Axel
Lohman Christoph
author_sort Sühn Thomas
title Acoustic sensing of tissue-tool interactions – potential applications in arthroscopic surgery
title_short Acoustic sensing of tissue-tool interactions – potential applications in arthroscopic surgery
title_full Acoustic sensing of tissue-tool interactions – potential applications in arthroscopic surgery
title_fullStr Acoustic sensing of tissue-tool interactions – potential applications in arthroscopic surgery
title_full_unstemmed Acoustic sensing of tissue-tool interactions – potential applications in arthroscopic surgery
title_sort acoustic sensing of tissue-tool interactions – potential applications in arthroscopic surgery
publisher De Gruyter
publishDate 2020
url https://doaj.org/article/545099776395420a9aac91a0cc13b2af
work_keys_str_mv AT suhnthomas acousticsensingoftissuetoolinteractionspotentialapplicationsinarthroscopicsurgery
AT pandeyajay acousticsensingoftissuetoolinteractionspotentialapplicationsinarthroscopicsurgery
AT friebemichael acousticsensingoftissuetoolinteractionspotentialapplicationsinarthroscopicsurgery
AT illanesalfredo acousticsensingoftissuetoolinteractionspotentialapplicationsinarthroscopicsurgery
AT boeseaxel acousticsensingoftissuetoolinteractionspotentialapplicationsinarthroscopicsurgery
AT lohmanchristoph acousticsensingoftissuetoolinteractionspotentialapplicationsinarthroscopicsurgery
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