Sistema de visión para seguimiento automático de gasas quirúrgicas en cirugía laparoscópica

  1. Álvaro Muñoz García 1
  2. Eusebio de la Fuente 1
  3. Lidia Santos 1
  4. Juan Carlos Fraile 1
  5. J. Pérez Turiel 1
  1. 1 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

Book:
XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018
  1. Inés Tejado Balsera (coord.)
  2. Emiliano Pérez Hernández (coord.)
  3. Antonio José Calderón Godoy (coord.)
  4. Isaías González Pérez (coord.)
  5. Pilar Merchán García (coord.)
  6. Jesús Lozano Rogado (coord.)
  7. Santiago Salamanca Miño (coord.)
  8. Blas M. Vinagre Jara (coord.)

Publisher: Universidad de Extremadura

ISBN: 978-84-9749-756-5,  978-84-09-04460-3

Year of publication: 2018

Pages: 72-79

Congress: Jornadas de Automática (39. 2018. Badajoz)

Type: Conference paper

DOI: 10.17979/SPUDC.9788497497565.0072 DIALNET GOOGLE SCHOLAR lock_openRUC editor

Abstract

Automatic systems enable surgeons to improve their abilities, especially in minimally invasive surgery. This kind of surgery is performed using micro instruments and endoscopes, which widely restrict the surgeon’s field of vision. Retained surgical items inside the patient’s body is an uncommon event, but it has a strong impact on their health. The aim of this article is to develop a gauze detection system using computer vision. For that, laparoscopic images captured by an endoscopic camera will be analyzed. Those images have been processed using the Local Binary Pattern (LBP) operator, along with the variance. This approach has made it possible to achieve 90% accuracy and 83% sensitivity in the detection of gauzes, working in real time, without using any specialized hardware.

Data source: Dialnet