EVA: Laparoscopic instrument tracking based on endoscopic video analysis for psychomotor skills assessment

Oropesa García, Ignacio and Sánchez González, Patricia and Chmarra, Magdalena K. and Lamata de la Orden, Pablo and Fernandez Perez, Alvaro and Sánchez Margallo, Juan Alberto and Jansen, F.W. and Dankelman, J. and Sánchez Margallo, Francisco Miguel and Gómez Aguilera, Enrique J. (2013). EVA: Laparoscopic instrument tracking based on endoscopic video analysis for psychomotor skills assessment. "Surgical Endoscopy", v. 27 (n. 3); pp. 1029-1039. ISSN 0930-2794. https://doi.org/10.1007/s00464-012-2513-z.

Description

Title: EVA: Laparoscopic instrument tracking based on endoscopic video analysis for psychomotor skills assessment
Author/s:
  • Oropesa García, Ignacio
  • Sánchez González, Patricia
  • Chmarra, Magdalena K.
  • Lamata de la Orden, Pablo
  • Fernandez Perez, Alvaro
  • Sánchez Margallo, Juan Alberto
  • Jansen, F.W.
  • Dankelman, J.
  • Sánchez Margallo, Francisco Miguel
  • Gómez Aguilera, Enrique J.
Item Type: Article
Título de Revista/Publicación: Surgical Endoscopy
Date: March 2013
ISSN: 0930-2794
Volume: 27
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

INTRODUCTION: The EVA (Endoscopic Video Analysis) tracking system a new tracking system for extracting motions of laparoscopic instruments based on non-obtrusive video tracking was developed. The feasibility of using EVA in laparoscopic settings has been tested in a box trainer setup. METHODS: EVA makes use of an algorithm that employs information of the laparoscopic instrument's shaft edges in the image, the instrument's insertion point, and the camera's optical centre to track the 3D position of the instrument tip. A validation study of EVA comprised a comparison of the measurements achieved with EVA and the TrEndo tracking system. To this end, 42 participants (16 novices, 22 residents, and 4 experts) were asked to perform a peg transfer task in a box trainer. Ten motion-based metrics were used to assess their performance. RESULTS: Construct validation of the EVA has been obtained for seven motion-based metrics. Concurrent validation revealed that there is a strong correlation between the results obtained by EVA and the TrEndo for metrics such as path length (p=0,97), average speed (p=0,94) or economy of volume (p=0,85), proving the viability of EVA. CONCLUSIONS: EVA has been successfully used in the training setup showing potential of endoscopic video analysis to assess laparoscopic psychomotor skills. The results encourage further implementation of video tracking in training setups and in image guided surgery.

More information

Item ID: 15296
DC Identifier: http://oa.upm.es/15296/
OAI Identifier: oai:oa.upm.es:15296
DOI: 10.1007/s00464-012-2513-z
Official URL: http://link.springer.com/article/10.1007%2Fs00464-012-2513-z
Deposited by: Memoria Investigacion
Deposited on: 05 Jun 2013 18:08
Last Modified: 21 Apr 2016 15:21
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