Literature DB >> 22003618

3D tracking of laparoscopic instruments using statistical and geometric modeling.

Rémi Wolf1, Josselin Duchateau, Philippe Cinquin, Sandrine Voros.   

Abstract

During a laparoscopic surgery, the endoscope can be manipulated by an assistant or a robot. Several teams have worked on the tracking of surgical instruments, based on methods ranging from the development of specific devices to image processing methods. We propose to exploit the instruments' insertion points, which are fixed on the patients abdominal cavity, as a geometric constraint for the localization of the instruments. A simple geometric model of a laparoscopic instrument is described, as well as a parametrization that exploits a spherical geometric grid, which offers attracting homogeneity and isotropy properties. The general architecture of our proposed approach is based on the probabilistic Condensation algorithm.

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Year:  2011        PMID: 22003618     DOI: 10.1007/978-3-642-23623-5_26

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  7 in total

1.  Estimation of optimal pivot point for remote center of motion alignment in surgery.

Authors:  Benoît Rosa; Caspar Gruijthuijsen; Ben Van Cleynenbreugel; Jos Vander Sloten; Dominiek Reynaerts; Emmanuel Vander Poorten
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-05-16       Impact factor: 2.924

2.  Multi-view vision system for laparoscopy surgery.

Authors:  Brahim Tamadazte; Anthony Agustinos; Philippe Cinquin; Gaelle Fiard; Sandrine Voros
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-05-14       Impact factor: 2.924

3.  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

4.  Toward Practical and Accurate Touch-Based Image Guidance for Robotic Partial Nephrectomy.

Authors:  James M Ferguson; E Bryn Pitt; Andria A Remirez; Michael A Siebold; Alan Kuntz; Nicholas L Kavoussi; Eric J Barth; S Duke Herrell; Robert J Webster
Journal:  IEEE Trans Med Robot Bionics       Date:  2020-05-01

5.  Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks.

Authors:  Xiaofei Du; Thomas Kurmann; Ping-Lin Chang; Maximilian Allan; Sebastien Ourselin; Raphael Sznitman; John D Kelly; Danail Stoyanov
Journal:  IEEE Trans Med Imaging       Date:  2018-05       Impact factor: 10.048

6.  CRF-Based Model for Instrument Detection and Pose Estimation in Retinal Microsurgery.

Authors:  Mohamed Alsheakhali; Abouzar Eslami; Hessam Roodaki; Nassir Navab
Journal:  Comput Math Methods Med       Date:  2016-10-27       Impact factor: 2.238

7.  Pose estimation of a markerless fiber bundle for endoscopic optical biopsy.

Authors:  Omar Zenteno; Sylvie Treuillet; Yves Lucas
Journal:  J Med Imaging (Bellingham)       Date:  2021-03-01
  7 in total

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