Laparoscopic image analysis for automatic tracking of surgical tools

Cano González, Alicia and Vara Beceiro, I. and Sánchez González, Patricia and Pozo Guerrero, Francisco del and Gómez Aguilera, Enrique J. (2008). Laparoscopic image analysis for automatic tracking of surgical tools. In: "Computer Assisted Radiology and Surgery 22nd International Congress and Exhibition (CARS 2008)", 25/06/2008-28/06/2008, Barcelona, España.

Description

Title: Laparoscopic image analysis for automatic tracking of surgical tools
Author/s:
  • Cano González, Alicia
  • Vara Beceiro, I.
  • Sánchez González, Patricia
  • Pozo Guerrero, Francisco del
  • Gómez Aguilera, Enrique J.
Item Type: Presentation at Congress or Conference (Poster)
Event Title: Computer Assisted Radiology and Surgery 22nd International Congress and Exhibition (CARS 2008)
Event Dates: 25/06/2008-28/06/2008
Event Location: Barcelona, España
Title of Book: Proceedings of the Computer Assisted Radiology and Surgery 22nd International Congress and Exhibition (CARS 2008)
Date: 2008
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

Laparoscopy is a surgical technique nowadays embedded in the clinical routine. Recent researches have been focused on analysing video information captured by the endoscope for extracting cues useful for surgeons, such as depth information. In particular, the 3D pose estimation of the surgical tools presents three important added values: (1) to extract objective parameters for the surgical training stage, (2) to develop an image-guided surgery based on the knowledge of the surgery tools localization, (3) to design new roboticsystems for an automatic laparoscope positioning, according to the visual feedback. Tool’s shape and orientation in the image is the key to get its 3D position. This work presents an image analysis for automatic laparoscopic tool’s detection along the recorded video without extra tool markers, using an edges detection strategy. Also, this analysis includes a previous stage of barrel distortion correction for videoendoscopic image.

More information

Item ID: 4119
DC Identifier: http://oa.upm.es/4119/
OAI Identifier: oai:oa.upm.es:4119
Official URL: http://www.cars-int.org/2008/cars_2008.html
Deposited by: Memoria Investigacion
Deposited on: 14 Sep 2010 10:23
Last Modified: 20 Apr 2016 13:28
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