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

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 y 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.

Descripción

Título: EVA: Laparoscopic instrument tracking based on endoscopic video analysis for psychomotor skills assessment
Autor/es:
  • 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.
Tipo de Documento: Artículo
Título de Revista/Publicación: Surgical Endoscopy
Fecha: Marzo 2013
Volumen: 27
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Tecnología Fotónica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 15296
Identificador DC: http://oa.upm.es/15296/
Identificador OAI: oai:oa.upm.es:15296
Identificador DOI: 10.1007/s00464-012-2513-z
URL Oficial: http://link.springer.com/article/10.1007%2Fs00464-012-2513-z
Depositado por: Memoria Investigacion
Depositado el: 05 Jun 2013 18:08
Ultima Modificación: 21 Abr 2016 15:21
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