A real-time knot detection algorithm for suturing simulation

Ganesh Sankaranarayanan; Suvranu De

doi:10.3233/978-1-58603-964-6-289

A real-time knot detection algorithm for suturing simulation

Ganesh Sankaranarayanan, Suvranu De

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

In this work, we present an efficient real-time method to detect knots in a virtual-reality suturing simulator. The knot detection method exploits the self-collision information on pairs of thread segments to detect the knot. Once the knot is detected, it is frozen for further evaluation in the simulator. This method was successfully tested for standard knots that are applied with the intracorporeal technique. We have shown that our method can detect knots in real-time for various thread lengths.

Original language	English (US)
Title of host publication	Medicine Meets Virtual Reality 17 - NextMed
Subtitle of host publication	Design for/the Well Being
Publisher	IOS Press
Pages	289-291
Number of pages	3
ISBN (Print)	9781586039646
DOIs	https://doi.org/10.3233/978-1-58603-964-6-289
State	Published - 2009
Externally published	Yes
Event	17th Annual MMVR Conference - NextMed: Design for/the Well Being, MMVR17 2009 - Long Beach, CA, United States Duration: Jan 19 2009 → Jan 22 2009

Publication series

Name	Studies in Health Technology and Informatics
Volume	142
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	17th Annual MMVR Conference - NextMed: Design for/the Well Being, MMVR17 2009
Country/Territory	United States
City	Long Beach, CA
Period	1/19/09 → 1/22/09

Keywords

Intracorporeal knot
Knot detection
Minimally invasive surgery
Surgical simulators

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/978-1-58603-964-6-289

Cite this

Sankaranarayanan, G & De, S 2009, A real-time knot detection algorithm for suturing simulation. in Medicine Meets Virtual Reality 17 - NextMed: Design for/the Well Being. Studies in Health Technology and Informatics, vol. 142, IOS Press, pp. 289-291, 17th Annual MMVR Conference - NextMed: Design for/the Well Being, MMVR17 2009, Long Beach, CA, United States, 1/19/09. https://doi.org/10.3233/978-1-58603-964-6-289

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abstract = "In this work, we present an efficient real-time method to detect knots in a virtual-reality suturing simulator. The knot detection method exploits the self-collision information on pairs of thread segments to detect the knot. Once the knot is detected, it is frozen for further evaluation in the simulator. This method was successfully tested for standard knots that are applied with the intracorporeal technique. We have shown that our method can detect knots in real-time for various thread lengths.",

keywords = "Intracorporeal knot, Knot detection, Minimally invasive surgery, Surgical simulators",

author = "Ganesh Sankaranarayanan and Suvranu De",

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language = "English (US)",

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series = "Studies in Health Technology and Informatics",

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AB - In this work, we present an efficient real-time method to detect knots in a virtual-reality suturing simulator. The knot detection method exploits the self-collision information on pairs of thread segments to detect the knot. Once the knot is detected, it is frozen for further evaluation in the simulator. This method was successfully tested for standard knots that are applied with the intracorporeal technique. We have shown that our method can detect knots in real-time for various thread lengths.

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A real-time knot detection algorithm for suturing simulation

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

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