Assessment of navigation cues with proximal force sensing during endovascular catheterization.
Identifieur interne : 002560 ( Main/Curation ); précédent : 002559; suivant : 002561Assessment of navigation cues with proximal force sensing during endovascular catheterization.
Auteurs : Hedyeh Rafii-Taril [Royaume-Uni] ; Christopher J. Payne ; Celia Riga ; Colin Bicknell ; Su-Lin Lee ; Guang-Zhong YangSource :
- Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention ; 2012.
English descriptors
- KwdEn :
- MESH :
- instrumentation : Angiography, Surgery, Computer-Assisted.
- Cues, Equipment Design, Equipment Failure Analysis, Touch, Transducers, Pressure, Vascular Access Devices.
Abstract
Despite increased use of robotic catheter navigation systems for endovascular intervention procedures, current master-slave platforms have not yet taken into account dexterous manipulation skill used in traditional catheterization procedures. Information on tool forces applied by operators is often limited. A novel force/torque sensor is developed in this paper to obtain behavioural data across different experience levels and identify underlying factors that affect overall operator performance. The miniature device can be attached to any part of the proximal end of the catheter, together with a position sensor attached to the catheter tip, for relating tool forces to catheter dynamics and overall performance. The results show clear differences in manipulation skills between experience groups, thus providing insights into different patterns and range of forces applied during routine endovascular procedures. They also provide important design specifications for ergonomically optimized catheter manipulation platforms with added haptic feedback while maintaining natural skills of the operators.
PubMed: 23286093
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pubmed:23286093Le document en format XML
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<author><name sortKey="Rafii Taril, Hedyeh" sort="Rafii Taril, Hedyeh" uniqKey="Rafii Taril H" first="Hedyeh" last="Rafii-Taril">Hedyeh Rafii-Taril</name>
<affiliation wicri:level="1"><nlm:affiliation>The Hamlyn Centre for Robotic Surgery, Imperial College London, UK. h.rafii-tari11@imperial.ac.uk</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>The Hamlyn Centre for Robotic Surgery, Imperial College London</wicri:regionArea>
<wicri:noRegion>Imperial College London</wicri:noRegion>
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<author><name sortKey="Payne, Christopher J" sort="Payne, Christopher J" uniqKey="Payne C" first="Christopher J" last="Payne">Christopher J. Payne</name>
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<author><name sortKey="Riga, Celia" sort="Riga, Celia" uniqKey="Riga C" first="Celia" last="Riga">Celia Riga</name>
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<author><name sortKey="Bicknell, Colin" sort="Bicknell, Colin" uniqKey="Bicknell C" first="Colin" last="Bicknell">Colin Bicknell</name>
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<author><name sortKey="Lee, Su Lin" sort="Lee, Su Lin" uniqKey="Lee S" first="Su-Lin" last="Lee">Su-Lin Lee</name>
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<author><name sortKey="Yang, Guang Zhong" sort="Yang, Guang Zhong" uniqKey="Yang G" first="Guang-Zhong" last="Yang">Guang-Zhong Yang</name>
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<author><name sortKey="Rafii Taril, Hedyeh" sort="Rafii Taril, Hedyeh" uniqKey="Rafii Taril H" first="Hedyeh" last="Rafii-Taril">Hedyeh Rafii-Taril</name>
<affiliation wicri:level="1"><nlm:affiliation>The Hamlyn Centre for Robotic Surgery, Imperial College London, UK. h.rafii-tari11@imperial.ac.uk</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
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<author><name sortKey="Payne, Christopher J" sort="Payne, Christopher J" uniqKey="Payne C" first="Christopher J" last="Payne">Christopher J. Payne</name>
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<author><name sortKey="Riga, Celia" sort="Riga, Celia" uniqKey="Riga C" first="Celia" last="Riga">Celia Riga</name>
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<author><name sortKey="Bicknell, Colin" sort="Bicknell, Colin" uniqKey="Bicknell C" first="Colin" last="Bicknell">Colin Bicknell</name>
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<author><name sortKey="Lee, Su Lin" sort="Lee, Su Lin" uniqKey="Lee S" first="Su-Lin" last="Lee">Su-Lin Lee</name>
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<author><name sortKey="Yang, Guang Zhong" sort="Yang, Guang Zhong" uniqKey="Yang G" first="Guang-Zhong" last="Yang">Guang-Zhong Yang</name>
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<series><title level="j">Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention</title>
<imprint><date when="2012" type="published">2012</date>
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<term>Equipment Design</term>
<term>Equipment Failure Analysis</term>
<term>Surgery, Computer-Assisted (instrumentation)</term>
<term>Touch</term>
<term>Transducers, Pressure</term>
<term>Vascular Access Devices</term>
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<keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Angiography</term>
<term>Surgery, Computer-Assisted</term>
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<keywords scheme="MESH" xml:lang="en"><term>Cues</term>
<term>Equipment Design</term>
<term>Equipment Failure Analysis</term>
<term>Touch</term>
<term>Transducers, Pressure</term>
<term>Vascular Access Devices</term>
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<front><div type="abstract" xml:lang="en">Despite increased use of robotic catheter navigation systems for endovascular intervention procedures, current master-slave platforms have not yet taken into account dexterous manipulation skill used in traditional catheterization procedures. Information on tool forces applied by operators is often limited. A novel force/torque sensor is developed in this paper to obtain behavioural data across different experience levels and identify underlying factors that affect overall operator performance. The miniature device can be attached to any part of the proximal end of the catheter, together with a position sensor attached to the catheter tip, for relating tool forces to catheter dynamics and overall performance. The results show clear differences in manipulation skills between experience groups, thus providing insights into different patterns and range of forces applied during routine endovascular procedures. They also provide important design specifications for ergonomically optimized catheter manipulation platforms with added haptic feedback while maintaining natural skills of the operators.</div>
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