Eye-mounting goggles to bridge the gap between benchtop experiments and in vivo robotic eye surgery.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 09 2023
Historique:
received: 03 05 2023
accepted: 12 09 2023
medline: 21 9 2023
pubmed: 20 9 2023
entrez: 19 9 2023
Statut: epublish

Résumé

A variety of robot-assisted surgical systems have been proposed to improve the precision of eye surgery. Evaluation of these systems has typically relied on benchtop experiments with artificial or enucleated eyes. However, this does not properly account for the types of head motion that are common among patients undergoing eye surgery, which a clinical robotic system will encounter. In vivo experiments are clinically realistic, but they are risky and thus require the robotic system to be at a sufficiently mature state of development. In this paper, we describe a low-cost device that enables an artificial or enucleated eye to be mounted to standard swim goggles worn by a human volunteer to enable more realistic evaluation of eye-surgery robots after benchtop studies and prior to in vivo studies. The mounted eye can rotate about its center, with a rotational stiffness matching that of an anesthetized patient's eye. We describe surgeon feedback and technical analyses to verify that various aspects of the design are sufficient for simulating a patient's eye during surgery.

Identifiants

pubmed: 37726336
doi: 10.1038/s41598-023-42561-9
pii: 10.1038/s41598-023-42561-9
pmc: PMC10509142
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

15503

Subventions

Organisme : NEI NIH HHS
ID : R21 EY027528
Pays : United States

Informations de copyright

© 2023. Springer Nature Limited.

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Auteurs

Nicholas R Posselli (NR)

Robotics Center and Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA. nicholas.posselli@utah.edu.

Paul S Bernstein (PS)

Department of Ophthalmology and Visual Sciences, Moran Eye Center, University of Utah, Salt Lake City, UT, USA.

Jake J Abbott (JJ)

Robotics Center and Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA.

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Classifications MeSH