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 proceedingChapter

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 languageEnglish (US)
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages802-810
Number of pages9
Volume8
EditionPt 1
StatePublished - 2005

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Gestures
Robotics
Datasets
Surgeons

Cite this

Lin, H. C., Shafran, I., Murphy, T. E., Okamura, A. M., Yuh, D. D., & Hager, G. (2005). Automatic detection and segmentation of robot-assisted surgical motions. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 1 ed., Vol. 8, pp. 802-810)

Automatic detection and segmentation of robot-assisted surgical motions. / Lin, Henry C.; Shafran, Izhak; Murphy, Todd E.; Okamura, Allison M.; Yuh, David D.; Hager, Gregory.

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 proceedingChapter

Lin, HC, Shafran, I, Murphy, TE, Okamura, AM, Yuh, DD & Hager, G 2005, Automatic detection and segmentation of robot-assisted surgical motions. in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 edn, vol. 8, pp. 802-810.
Lin HC, Shafran I, Murphy TE, Okamura AM, Yuh DD, Hager G. Automatic detection and segmentation of robot-assisted surgical motions. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 ed. Vol. 8. 2005. p. 802-810
Lin, Henry C. ; Shafran, Izhak ; Murphy, Todd E. ; Okamura, Allison M. ; Yuh, David D. ; Hager, Gregory. / Automatic detection and segmentation of robot-assisted surgical motions. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 8 Pt 1. ed. 2005. pp. 802-810
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