Augmented reality and haptic interfaces for robot-assisted surgery.
Identifieur interne : 002554 ( Main/Exploration ); précédent : 002553; suivant : 002555Augmented reality and haptic interfaces for robot-assisted surgery.
Auteurs : Tomonori Yamamoto [États-Unis] ; Niki Abolhassani ; Sung Jung ; Allison M. Okamura ; Timothy N. JudkinsSource :
- The international journal of medical robotics + computer assisted surgery : MRCAS [ 1478-596X ] ; 2012.
English descriptors
- KwdEn :
- Algorithms, Equipment Design, Feedback, Humans, Image Processing, Computer-Assisted, Imaging, Three-Dimensional (methods), Male, Minimally Invasive Surgical Procedures (methods), Models, Statistical, Prostate (pathology), Reproducibility of Results, Robotics (instrumentation), Software, Stress, Mechanical, Surface Properties, Telemedicine (methods).
- MESH :
- instrumentation : Robotics.
- methods : Imaging, Three-Dimensional, Minimally Invasive Surgical Procedures, Telemedicine.
- pathology : Prostate.
- Algorithms, Equipment Design, Feedback, Humans, Image Processing, Computer-Assisted, Male, Models, Statistical, Reproducibility of Results, Software, Stress, Mechanical, Surface Properties.
Abstract
Current teleoperated robot-assisted minimally invasive surgical systems do not take full advantage of the potential performance enhancements offered by various forms of haptic feedback to the surgeon. Direct and graphical haptic feedback systems can be integrated with vision and robot control systems in order to provide haptic feedback to improve safety and tissue mechanical property identification.
DOI: 10.1002/rcs.421
PubMed: 22069247
Affiliations:
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Le document en format XML
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<affiliation wicri:level="2"><nlm:affiliation>Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA. tyama@jhu.edu</nlm:affiliation>
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<wicri:regionArea>Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD</wicri:regionArea>
<placeName><region type="state">Maryland</region>
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<author><name sortKey="Abolhassani, Niki" sort="Abolhassani, Niki" uniqKey="Abolhassani N" first="Niki" last="Abolhassani">Niki Abolhassani</name>
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<author><name sortKey="Jung, Sung" sort="Jung, Sung" uniqKey="Jung S" first="Sung" last="Jung">Sung Jung</name>
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<author><name sortKey="Okamura, Allison M" sort="Okamura, Allison M" uniqKey="Okamura A" first="Allison M" last="Okamura">Allison M. Okamura</name>
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<author><name sortKey="Judkins, Timothy N" sort="Judkins, Timothy N" uniqKey="Judkins T" first="Timothy N" last="Judkins">Timothy N. Judkins</name>
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<term>Imaging, Three-Dimensional (methods)</term>
<term>Male</term>
<term>Minimally Invasive Surgical Procedures (methods)</term>
<term>Models, Statistical</term>
<term>Prostate (pathology)</term>
<term>Reproducibility of Results</term>
<term>Robotics (instrumentation)</term>
<term>Software</term>
<term>Stress, Mechanical</term>
<term>Surface Properties</term>
<term>Telemedicine (methods)</term>
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<front><div type="abstract" xml:lang="en">Current teleoperated robot-assisted minimally invasive surgical systems do not take full advantage of the potential performance enhancements offered by various forms of haptic feedback to the surgeon. Direct and graphical haptic feedback systems can be integrated with vision and robot control systems in order to provide haptic feedback to improve safety and tissue mechanical property identification.</div>
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<name sortKey="Judkins, Timothy N" sort="Judkins, Timothy N" uniqKey="Judkins T" first="Timothy N" last="Judkins">Timothy N. Judkins</name>
<name sortKey="Jung, Sung" sort="Jung, Sung" uniqKey="Jung S" first="Sung" last="Jung">Sung Jung</name>
<name sortKey="Okamura, Allison M" sort="Okamura, Allison M" uniqKey="Okamura A" first="Allison M" last="Okamura">Allison M. Okamura</name>
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<country name="États-Unis"><region name="Maryland"><name sortKey="Yamamoto, Tomonori" sort="Yamamoto, Tomonori" uniqKey="Yamamoto T" first="Tomonori" last="Yamamoto">Tomonori Yamamoto</name>
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