Surgical task and skill classification from eye tracking and tool motion in minimally invasive surgery.

Narges Ahmidi, Gregory Hager, Lisa Earnest Ishii, Gabor Fichtinger, Gary L Gallia, Masaru Ishii

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In the context of minimally invasive surgery, clinical risks are highly associated with surgeons' skill in manipulating surgical tools and their knowledge of the closed anatomy. A quantitative surgical skill assessment can reduce faulty procedures and prevent some surgical risks. In this paper focusing on sinus surgery, we present two methods to identify both skill level and task type by recording motion data of surgical tools as well as the surgeon's eye gaze location on the screen. We generate a total of 14 discrete Hidden Markov Models for seven surgical tasks at both expert and novice levels using a repeated k-fold evaluation method. The dataset contains 95 expert and 139 novice trials of surgery over a cadaver. The results reveal two insights: eye-gaze data contains skill related structures; and adding this info to the surgical tool motion data improves skill assessment by 13.2% and 5.3% for expert and novice levels, respectively. The proposed system quantifies surgeon's skill level with an accuracy of 82.5% and surgical task type of 77.8%.

Original languageEnglish (US)
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages295-302
Number of pages8
Volume13
EditionPt 3
StatePublished - 2010

Fingerprint

Minimally Invasive Surgical Procedures
Anatomic Models
Cadaver
Anatomy
Surgeons

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Ahmidi, N., Hager, G., Ishii, L. E., Fichtinger, G., Gallia, G. L., & Ishii, M. (2010). Surgical task and skill classification from eye tracking and tool motion in minimally invasive surgery. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 3 ed., Vol. 13, pp. 295-302)

Surgical task and skill classification from eye tracking and tool motion in minimally invasive surgery. / Ahmidi, Narges; Hager, Gregory; Ishii, Lisa Earnest; Fichtinger, Gabor; Gallia, Gary L; Ishii, Masaru.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 13 Pt 3. ed. 2010. p. 295-302.

Research output: Chapter in Book/Report/Conference proceedingChapter

Ahmidi, N, Hager, G, Ishii, LE, Fichtinger, G, Gallia, GL & Ishii, M 2010, Surgical task and skill classification from eye tracking and tool motion in minimally invasive surgery. in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 3 edn, vol. 13, pp. 295-302.
Ahmidi N, Hager G, Ishii LE, Fichtinger G, Gallia GL, Ishii M. Surgical task and skill classification from eye tracking and tool motion in minimally invasive surgery. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 3 ed. Vol. 13. 2010. p. 295-302
Ahmidi, Narges ; Hager, Gregory ; Ishii, Lisa Earnest ; Fichtinger, Gabor ; Gallia, Gary L ; Ishii, Masaru. / Surgical task and skill classification from eye tracking and tool motion in minimally invasive surgery. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 13 Pt 3. ed. 2010. pp. 295-302
@inbook{a607c16a3e994acdad3caed4ea32f0ea,
title = "Surgical task and skill classification from eye tracking and tool motion in minimally invasive surgery.",
abstract = "In the context of minimally invasive surgery, clinical risks are highly associated with surgeons' skill in manipulating surgical tools and their knowledge of the closed anatomy. A quantitative surgical skill assessment can reduce faulty procedures and prevent some surgical risks. In this paper focusing on sinus surgery, we present two methods to identify both skill level and task type by recording motion data of surgical tools as well as the surgeon's eye gaze location on the screen. We generate a total of 14 discrete Hidden Markov Models for seven surgical tasks at both expert and novice levels using a repeated k-fold evaluation method. The dataset contains 95 expert and 139 novice trials of surgery over a cadaver. The results reveal two insights: eye-gaze data contains skill related structures; and adding this info to the surgical tool motion data improves skill assessment by 13.2{\%} and 5.3{\%} for expert and novice levels, respectively. The proposed system quantifies surgeon's skill level with an accuracy of 82.5{\%} and surgical task type of 77.8{\%}.",
author = "Narges Ahmidi and Gregory Hager and Ishii, {Lisa Earnest} and Gabor Fichtinger and Gallia, {Gary L} and Masaru Ishii",
year = "2010",
language = "English (US)",
volume = "13",
pages = "295--302",
booktitle = "Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention",
edition = "Pt 3",

}

TY - CHAP

T1 - Surgical task and skill classification from eye tracking and tool motion in minimally invasive surgery.

AU - Ahmidi, Narges

AU - Hager, Gregory

AU - Ishii, Lisa Earnest

AU - Fichtinger, Gabor

AU - Gallia, Gary L

AU - Ishii, Masaru

PY - 2010

Y1 - 2010

N2 - In the context of minimally invasive surgery, clinical risks are highly associated with surgeons' skill in manipulating surgical tools and their knowledge of the closed anatomy. A quantitative surgical skill assessment can reduce faulty procedures and prevent some surgical risks. In this paper focusing on sinus surgery, we present two methods to identify both skill level and task type by recording motion data of surgical tools as well as the surgeon's eye gaze location on the screen. We generate a total of 14 discrete Hidden Markov Models for seven surgical tasks at both expert and novice levels using a repeated k-fold evaluation method. The dataset contains 95 expert and 139 novice trials of surgery over a cadaver. The results reveal two insights: eye-gaze data contains skill related structures; and adding this info to the surgical tool motion data improves skill assessment by 13.2% and 5.3% for expert and novice levels, respectively. The proposed system quantifies surgeon's skill level with an accuracy of 82.5% and surgical task type of 77.8%.

AB - In the context of minimally invasive surgery, clinical risks are highly associated with surgeons' skill in manipulating surgical tools and their knowledge of the closed anatomy. A quantitative surgical skill assessment can reduce faulty procedures and prevent some surgical risks. In this paper focusing on sinus surgery, we present two methods to identify both skill level and task type by recording motion data of surgical tools as well as the surgeon's eye gaze location on the screen. We generate a total of 14 discrete Hidden Markov Models for seven surgical tasks at both expert and novice levels using a repeated k-fold evaluation method. The dataset contains 95 expert and 139 novice trials of surgery over a cadaver. The results reveal two insights: eye-gaze data contains skill related structures; and adding this info to the surgical tool motion data improves skill assessment by 13.2% and 5.3% for expert and novice levels, respectively. The proposed system quantifies surgeon's skill level with an accuracy of 82.5% and surgical task type of 77.8%.

UR - http://www.scopus.com/inward/record.url?scp=84857627826&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84857627826&partnerID=8YFLogxK

M3 - Chapter

C2 - 20879412

AN - SCOPUS:84857627826

VL - 13

SP - 295

EP - 302

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

ER -