Literature DB >> 16404118

Tracking endoscopic instruments without localizer: image analysis-based approach.

Oliver Tonet1, T U Ramesh, Giuseppe Megali, Paolo Dario.   

Abstract

In this paper we present an approach to localize endoscopic instruments with respect to the camera position, purely based on video image processing. No localizers are required. The only requirement is a coloured strip at the distal part of the instrument shaft, to facilitate image segmentation. The method exploits perspective image analysis applied to the cylindrical shape of the instrument shaft, allowing to measure five degrees of freedom of the instrument position and orientation. We describe the method theoretically and experimentally derive calibration curves for tuning the parameters of the algorithm. Results show that the method can be used for applications where accuracy is not critical, e.g. workspace analysis, gesture analysis, augmented-reality guidance, telementoring, etc. If this method is used in combination with a robotic camera holder, full localization with respect to the operating room can be achieved.

Mesh:

Year:  2006        PMID: 16404118

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  EVA: laparoscopic instrument tracking based on Endoscopic Video Analysis for psychomotor skills assessment.

Authors:  Ignacio Oropesa; Patricia Sánchez-González; Magdalena K Chmarra; Pablo Lamata; Alvaro Fernández; Juan A Sánchez-Margallo; Frank Willem Jansen; Jenny Dankelman; Francisco M Sánchez-Margallo; Enrique J Gómez
Journal:  Surg Endosc       Date:  2012-10-06       Impact factor: 4.584

2.  Laparoscopic training using a quantitative assessment and instructional system.

Authors:  T Yamaguchi; R Nakamura
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-04-28       Impact factor: 2.924

  2 in total

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