A robust mosaicing method for robotic assisted minimally invasive surgery

  • Mingxing Hu
  • , David J. Hawkes
  • , Graeme P. Penney
  • , Daniel Rueckert
  • , Philip J. Edwards
  • , Fernando Bello
  • , Michael Figl
  • , Roberto Casula

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Constructing a mosaicing image with broader field-of-view has become an interesting topic in image guided diagnosis and treatment. In this paper, we present a robust method for video mosaicing in order to provide more guiding information for robotic assisted minimally invasive surgery. Outliers involved in the feature dataset are removed using trifocal constraints, homographies between images are estimated with L -norm optimization and chained together in a practical way. Finally refinement based on bundle adjustment is applied to minimize the error between reprojection and feature measurement. The proposed method has been tested with endoscopic images from Totally Endoscopic Coronary Artery Bypass (TECAB) surgery. The results showed our method performs better than other typical methods in terms of accuracy and robustness to deformation.

Original languageEnglish
Title of host publicationICINCO 2010 - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics
Pages206-211
Number of pages6
StatePublished - 2010
Externally publishedYes
Event7th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2010 - Funchal, Portugal
Duration: 15 Jun 201018 Jun 2010

Publication series

NameICINCO 2010 - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics
Volume2

Conference

Conference7th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2010
Country/TerritoryPortugal
CityFunchal
Period15/06/1018/06/10

Keywords

  • Bundle adjustment
  • Homography
  • Robotic assisted minimally invasive surgery
  • Trifocal tensor
  • Video mosaicing

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