Literature DB >> 21688107

Enhanced visualisation for minimally invasive surgery.

Johannes Totz1, Kenko Fujii, Peter Mountney, Guang-Zhong Yang.   

Abstract

PURPOSE: Endoscopes used in minimally invasive surgery provide a limited field of view, thus requiring a high degree of spatial awareness and orientation. Attempts at expanding this small, restricted view with previously observed imagery have been made by researchers and is generally known as image mosaicing or dynamic view expansion. For minimally invasive endoscopy, SLAM-based methods have been shown to have potential values but have yet to address effective visualisation techniques.
METHODS: The live endoscopic video feed is expanded with previously observed footage. To this end, a method that highlights the difference between actual camera image and historic data observed earlier is proposed. Old video data is faded out to grey scale to mimic human peripheral vision. Specular highlights are removed with the help of texture synthesis to avoid distracting visual cues. The method is further evaluated on in vivo and phantom sequences by a detailed user study to examine the ability of the user in discerning temporal motion trajectories while visualising the expanded field of view, a feature that is of practical value for enhancing spatial awareness and orientation.
RESULTS: The difference between historic data and live video is integrated effectively. The use of a single texture domain generated by planar parameterisation is demonstrated for view expansion. Specular highlights can be removed through texture synthesis without introducing noticeable artefacts. The implicit encoding of motion trajectory of the endoscopic camera visualised by the proposed method facilitates both global awareness and temporal evolution of the scene.
CONCLUSIONS: Dynamic view expansion provides more context for navigation and orientation by establishing reference points beyond the camera's field of view. Effective integration of visual cues is paramount for concise visualisation.

Entities:  

Mesh:

Year:  2011        PMID: 21688107     DOI: 10.1007/s11548-011-0631-z

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  6 in total

1.  Perception of three-dimensional shape from specular highlights, deformations of shading, and other types of visual information.

Authors:  J Farley Norman; James T Todd; Guy A Orban
Journal:  Psychol Sci       Date:  2004-08

2.  The natural orifice simulated surgical environment (NOSsE): exploring the challenges of NOTES without the animal model.

Authors:  James Clark; Mikael Sodergren; David Noonan; Ara Darzi; Guang-Zhong Yang
Journal:  J Laparoendosc Adv Surg Tech A       Date:  2009-04       Impact factor: 1.878

3.  A global approach for automatic fibroscopic video mosaicing in minimally invasive diagnosis.

Authors:  Selen Atasoy; David P Noonan; Selim Benhimane; Nassir Navab; Guang-Zhong Yang
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

4.  Dynamic view expansion for enhanced navigation in Natural Orifice Transluminal Endoscopic Surgery.

Authors:  Mirna Lerotic; Adrian J Chung; James Clark; Salman Valibeik; Guang-Zhong Yang
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

5.  Dynamic view expansion for minimally invasive surgery using simultaneous localization and mapping.

Authors:  Peter Mountney; Guang-Zhong Yang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

6.  Simultaneous stereoscope localization and soft-tissue mapping for minimal invasive surgery.

Authors:  Peter Mountney; Danail Stoyanov; Andrew Davison; Guang-Zhong Yang
Journal:  Med Image Comput Comput Assist Interv       Date:  2006
  6 in total
  1 in total

1.  Real-Time Expanded Field-of-View for Minimally Invasive Surgery Using Multi-Camera Visual Simultaneous Localization and Mapping.

Authors:  Ahmed Afifi; Chisato Takada; Yuichiro Yoshimura; Toshiya Nakaguchi
Journal:  Sensors (Basel)       Date:  2021-03-17       Impact factor: 3.576

  1 in total

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