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Memorias de investigación
Artículos en revistas:
EVA: Laparoscopic instrument tracking based on endoscopic video analysis for psychomotor skills assessment
Año:2012
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
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 (?=0,97), average speed (?=0,94) or economy of volume (?=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.
Internacional
Si
JCR del ISI
Si
Título de la revista
Surgical Endoscopy
ISSN
0930-2794
Factor de impacto JCR
Información de impacto
Volumen
DOI
Número de revista
Desde la página
Epub ahead
Hasta la página
Epub ahead
Mes
SIN MES
Ranking
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Participantes
  • Autor: Ignacio Oropesa Garcia (UPM)
  • Autor: Patricia Sanchez Gonzalez (UPM)
  • Participante: Magdalena K. Chmarra (Delft University of Technology)
  • Autor: Pablo Lamata (Univesity of Oxford)
  • Autor: Alvaro Fernandez Perez (UPM)
  • Autor: Juan Alberto Sánchez Margallo (Centro de Cirugía de Mínima Invasión Jesús Usón)
  • Autor: Frank Willem Jansen (Leiden University Medical Centre)
  • Autor: Jenny Dankelman (Delft University of Technology)
  • Autor: Francisco Miguel Sánchez Margallo (Centro de Cirugía de Mínima Invasión Jesús Usón)
  • Autor: Enrique Javier Gomez Aguilera (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Bioingeniería y Telemedicina
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