Sistema de visión para el guiado de un asistente robótico en operaciones de cirugía endonasal

  1. Ander Loidi Yarza 1
  2. Rafael Estop Remacha 1
  3. Eusebio de la Fuente 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:
XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019
  1. Jose Luis Calvo Rolle (coord.)
  2. Jose Luis Casteleiro Roca (coord.)
  3. María Isabel Fernández Ibáñez (coord.)
  4. Óscar Fontenla Romero (coord.)
  5. Esteban Jove Pérez (coord.)
  6. Alberto José Leira Rejas (coord.)
  7. José Antonio López Vázquez (coord.)
  8. Vanesa Loureiro Vázquez (coord.)
  9. María Carmen Meizoso López (coord.)
  10. Francisco Javier Pérez Castelo (coord.)
  11. Andrés José Piñón Pazos (coord.)
  12. Héctor Quintián Pardo (coord.)
  13. Juan Manuel Rivas Rodríguez (coord.)
  14. Benigno Rodríguez Gómez (coord.)
  15. Rafael Alejandro Vega Vega (coord.)

Publisher: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-716-9

Year of publication: 2019

Pages: 94-100

Congress: Jornadas de Automática (40. 2019. Ferrol)

Type: Conference paper

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Abstract

Endoscopic transsphenoidal endonasal surgery is a minimally invasive technique that has numerous advantages by allowing surgeons quick and direct access to certain brain tumors through the nostrils. However, this type of surgery requires the participation of two surgeons who must operate with many space restrictions. This article presents a guidance system for a surgical robot based on the information provided by a ToF (time of flight) camera and the preoperative information obtained through a series of magnetic resonance images. This system will be part of a robotic assistant that manages the handling of the endoscope autonomously.

Data source: Dialnet