Literature DB >> 17945986

Dynamic augmented reality for sensory substitution in robot-assisted surgical systems.

Takintope Akinbiyi1, Carol E Reiley, Sunipa Saha, Darius Burschka, Christopher J Hasser, David D Yuh, Allison M Okamura.   

Abstract

Teleoperated robot-assisted surgical systems provide surgeons with improved precision, dexterity, and visualization over traditional minimally invasive surgery. The addition of haptic (force and/or tactile) feedback has been proposed as a way to further enhance the performance of these systems. However, due to limitations in sensing and control technologies, implementing direct haptic feedback to the surgeon's hands remains impractical for clinical application. A new, intuitive augmented reality system for presentation of force information through sensory substitution has been developed and evaluated. The augmented reality system consists of force-sensing robotic instruments, a kinematic tool tracker, and a graphic display that overlays a visual representation of force levels on top of the moving instrument tips. The system is integrated with the da Vinci Surgical System (Intuitive Surgical, Inc.) and tested by several users in a phantom knot tying task. The augmented reality system decreases the number of broken sutures, decreases the number of loose knots, and results in more consistent application of forces.

Mesh:

Year:  2006        PMID: 17945986     DOI: 10.1109/IEMBS.2006.259707

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  8 in total

Review 1.  The future of robotic surgery.

Authors:  Andrew Brodie; Nikhil Vasdev
Journal:  Ann R Coll Surg Engl       Date:  2018-09       Impact factor: 1.891

2.  Tensile strength and failure load of sutures for robotic surgery.

Authors:  Ahmad Abiri; Omeed Paydar; Anna Tao; Megan LaRocca; Kang Liu; Bradley Genovese; Robert Candler; Warren S Grundfest; Erik P Dutson
Journal:  Surg Endosc       Date:  2016-12-07       Impact factor: 4.584

Review 3.  Prevalence of haptic feedback in robot-mediated surgery: a systematic review of literature.

Authors:  Farshid Amirabdollahian; Salvatore Livatino; Behrad Vahedi; Radhika Gudipati; Patrick Sheen; Shan Gawrie-Mohan; Nikhil Vasdev
Journal:  J Robot Surg       Date:  2017-12-01

4.  Visual measurement of suture strain for robotic surgery.

Authors:  John Martell; Thomas Elmer; Nachappa Gopalsami; Young Soo Park
Journal:  Comput Math Methods Med       Date:  2011-02-24       Impact factor: 2.238

5.  Reaction force/torque sensing in a master-slave robot system without mechanical sensors.

Authors:  Tao Liu; Chunguang Li; Yoshio Inoue; Kyoko Shibata
Journal:  Sensors (Basel)       Date:  2010-07-29       Impact factor: 3.576

6.  A Systematic Review of 10 Years of Augmented Reality Usability Studies: 2005 to 2014.

Authors:  Arindam Dey; Mark Billinghurst; Robert W Lindeman; J Edward Swan
Journal:  Front Robot AI       Date:  2018-04-17

7.  Performance with robotic surgery versus 3D- and 2D-laparoscopy during pancreatic and biliary anastomoses in a biotissue model: pooled analysis of two randomized trials.

Authors:  Maurice J W Zwart; Leia R Jones; Ignacio Fuente; Alberto Balduzzi; Kosei Takagi; Stephanie Novak; Luna A Stibbe; Thijs de Rooij; Jony van Hilst; L Bengt van Rijssen; Susan van Dieren; Aude Vanlander; Peter B van den Boezem; Freek Daams; J Sven D Mieog; Bert A Bonsing; Camiel Rosman; Sebastiaan Festen; Misha D Luyer; Daan J Lips; Arthur J Moser; Olivier R Busch; Mohammad Abu Hilal; Melissa E Hogg; Martijn W J Stommel; Marc G Besselink
Journal:  Surg Endosc       Date:  2021-11-19       Impact factor: 3.453

8.  Miniature fiber-optic force sensor based on low-coherence Fabry-Pérot interferometry for vitreoretinal microsurgery.

Authors:  Xuan Liu; Iulian I Iordachita; Xingchi He; Russell H Taylor; Jin U Kang
Journal:  Biomed Opt Express       Date:  2012-04-19       Impact factor: 3.732

  8 in total

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