Automatic detection and segmentation of robot-assisted surgical motions.

Henry C. Lin; Izhak Shafran; Todd E. Murphy; Allison M. Okamura; David D. Yuh; Gregory Hager

Automatic detection and segmentation of robot-assisted surgical motions.

Henry C. Lin, Izhak Shafran, Todd E. Murphy, Allison M. Okamura, David D. Yuh, Gregory Hager

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

Abstract

Robotic surgical systems such as Intuitive Surgical's da Vinci system provide a rich source of motion and video data from surgical procedures. In principle, this data can be used to evaluate surgical skill, provide surgical training feedback, or document essential aspects of a procedure. If processed online, the data can be used to provide context-specific information or motion enhancements to the surgeon. However, in every case, the key step is to relate recorded motion data to a model of the procedure being performed. This paper examines our progress at developing techniques for "parsing" raw motion data from a surgical task into a labelled sequence of surgical gestures. Our current techniques have achieved >90% fully automated recognition rates on 15 datasets.

Original language	English (US)
Title of host publication	Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages	802-810
Number of pages	9
Volume	8
Edition	Pt 1
State	Published - 2005

Cite this

Automatic detection and segmentation of robot-assisted surgical motions. / Lin, Henry C.; Shafran, Izhak; Murphy, Todd E. et al.
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 8 Pt 1. ed. 2005. p. 802-810.

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

@inbook{67ccd58c5b134713bfda0989dbbb35e7,

title = "Automatic detection and segmentation of robot-assisted surgical motions.",

abstract = "Robotic surgical systems such as Intuitive Surgical's da Vinci system provide a rich source of motion and video data from surgical procedures. In principle, this data can be used to evaluate surgical skill, provide surgical training feedback, or document essential aspects of a procedure. If processed online, the data can be used to provide context-specific information or motion enhancements to the surgeon. However, in every case, the key step is to relate recorded motion data to a model of the procedure being performed. This paper examines our progress at developing techniques for {"}parsing{"} raw motion data from a surgical task into a labelled sequence of surgical gestures. Our current techniques have achieved >90% fully automated recognition rates on 15 datasets.",

author = "Lin, {Henry C.} and Izhak Shafran and Murphy, {Todd E.} and Okamura, {Allison M.} and Yuh, {David D.} and Gregory Hager",

year = "2005",

language = "English (US)",

volume = "8",

pages = "802--810",

booktitle = "Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention",

edition = "Pt 1",

}

TY - CHAP

T1 - Automatic detection and segmentation of robot-assisted surgical motions.

AU - Lin, Henry C.

AU - Shafran, Izhak

AU - Murphy, Todd E.

AU - Okamura, Allison M.

AU - Yuh, David D.

AU - Hager, Gregory

PY - 2005

Y1 - 2005

N2 - Robotic surgical systems such as Intuitive Surgical's da Vinci system provide a rich source of motion and video data from surgical procedures. In principle, this data can be used to evaluate surgical skill, provide surgical training feedback, or document essential aspects of a procedure. If processed online, the data can be used to provide context-specific information or motion enhancements to the surgeon. However, in every case, the key step is to relate recorded motion data to a model of the procedure being performed. This paper examines our progress at developing techniques for "parsing" raw motion data from a surgical task into a labelled sequence of surgical gestures. Our current techniques have achieved >90% fully automated recognition rates on 15 datasets.

AB - Robotic surgical systems such as Intuitive Surgical's da Vinci system provide a rich source of motion and video data from surgical procedures. In principle, this data can be used to evaluate surgical skill, provide surgical training feedback, or document essential aspects of a procedure. If processed online, the data can be used to provide context-specific information or motion enhancements to the surgeon. However, in every case, the key step is to relate recorded motion data to a model of the procedure being performed. This paper examines our progress at developing techniques for "parsing" raw motion data from a surgical task into a labelled sequence of surgical gestures. Our current techniques have achieved >90% fully automated recognition rates on 15 datasets.

UR - http://www.scopus.com/inward/record.url?scp=79551687913&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79551687913&partnerID=8YFLogxK

M3 - Chapter

C2 - 16685920

VL - 8

SP - 802

EP - 810

BT - Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

ER -

Automatic detection and segmentation of robot-assisted surgical motions.

Abstract

Other files and links

Fingerprint

Cite this