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

Cano González, Alicia and Sánchez González, Patricia and Sánchez Margallo, Francisco Miguel and Oropesa García, Ignacio and Pozo Guerrero, Francisco del and Gómez Aguilera, Enrique J. (2009). Video-endoscopic image analysis for 3D reconstruction of the surgical scene. In: "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.

Description

Title: Video-endoscopic image analysis for 3D reconstruction of the surgical scene
Author/s:
  • Cano González, Alicia
  • Sánchez González, Patricia
  • Sánchez Margallo, Francisco Miguel
  • Oropesa García, Ignacio
  • Pozo Guerrero, Francisco del
  • Gómez Aguilera, Enrique J.
Item Type: Presentation at Congress or Conference (Unspecified)
Event Title: 4th European Conference of the International Federation for Medical and Biomedical Engineering (ECIFMBE 2008)
Event Dates: 23/11/2008-27/11/2008
Event Location: Amberes, Bélgica
Title of Book: Proceedings of 4th European Conference of the International Federation for Medical and Biomedical Engineering (ECIFMBE 2008)
Date: 2009
ISBN: 978-3-540-89207-6
Volume: 22
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

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.

More information

Item ID: 4083
DC Identifier: http://oa.upm.es/4083/
OAI Identifier: oai:oa.upm.es:4083
Official URL: http://www.springerlink.com/content/p0nj166w55330wp6/
Deposited by: Memoria Investigacion
Deposited on: 15 Sep 2010 11:12
Last Modified: 20 Apr 2016 13:26
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