Video-endoscopic image analysis for 3D reconstruction of the surgical scene

Cano González, Alicia; Sánchez González, Patricia; Sánchez Margallo, Francisco Miguel; Oropesa García, Ignacio; Pozo Guerrero, Francisco del y Gómez Aguilera, Enrique J. (2009). Video-endoscopic image analysis for 3D reconstruction of the surgical scene. En: "4th European Conference of the International Federation for Medical and Biomedical Engineering (ECIFMBE 2008)", 23/11/2008-27/11/2008, Amberes, Bélgica. ISBN 978-3-540-89207-6.

Descripción

Título: Video-endoscopic image analysis for 3D reconstruction of the surgical scene
Autor/es:
  • Cano González, Alicia
  • Sánchez González, Patricia
  • Sánchez Margallo, Francisco Miguel
  • Oropesa García, Ignacio
  • Pozo Guerrero, Francisco del
  • Gómez Aguilera, Enrique J.
Tipo de Documento: Ponencia en Congreso o Jornada (Sin especificar)
Título del Evento: 4th European Conference of the International Federation for Medical and Biomedical Engineering (ECIFMBE 2008)
Fechas del Evento: 23/11/2008-27/11/2008
Lugar del Evento: Amberes, Bélgica
Título del Libro: Proceedings of 4th European Conference of the International Federation for Medical and Biomedical Engineering (ECIFMBE 2008)
Fecha: 2009
ISBN: 978-3-540-89207-6
Volumen: 22
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

Video-endoscopic image analysis is an important source of information for extracting relevant 3D information of the surgical scene in minimally invasive surgery. This work proposes a new approach for getting depth information and relative position between instruments and organs based on video image analysis. The proposed image analysis extracts information from: (1) the projective geometry of the surgical setting in the image to determine laparoscopic tool’s pose, and (2) the scene illumination captured in the image for getting a depth-map of the surgical scene. Results have verified the potential of video-analysis based methods for obtaining 3D information of the whole surgical scene. This information offers new possibilities for developing new augmented reality surgical applications and for improving surgical training with objective metrics. The main benefit of this approach is the lack of extra elements which disturb surgeons’ performance in the clinical routine.

Más información

ID de Registro: 4083
Identificador DC: http://oa.upm.es/4083/
Identificador OAI: oai:oa.upm.es:4083
URL Oficial: http://www.springerlink.com/content/p0nj166w55330wp6/
Depositado por: Memoria Investigacion
Depositado el: 15 Sep 2010 11:12
Ultima Modificación: 20 Abr 2016 13:26
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