Literature DB >> 31677231

Development of a novel intelligent laparoscope system for semi-automatic minimally invasive surgery.

Yanwen Sun1, Bo Pan, Yili Fu, Fayi Cao.   

Abstract

BACKGROUND: Intelligent surgical robot has great significance to alleviate the fatigue of surgeons. In the minimally invasive surgery robot system, adding intelligent control method to the laparoscope control has great realizability and significance.
METHODS: Depth independent image Jacobian matrix was modified to make it suitable for laparoscope trocar constraint. We propose a method for intelligent and autonomous adjustment of surgeon's surgical field of view, enabling it to track and predict the motion trajectory of surgical instruments.
RESULTS: The result of experiment shows that the proposed method could realize tracking the surgical instruments and adjusting the surgical field of view autonomously. In case of occlusion, motion trajectory of surgical instruments can be predicted.
CONCLUSION: The intelligent laparoscope system could improve the intelligent level of surgical robot system. Given providing "a third hand" for the surgeon, the proposed system is a highly improvement for semi-autonomous surgical robot system.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  laparoscope system; semi-automatic surgery; surgical robot

Mesh:

Year:  2019        PMID: 31677231     DOI: 10.1002/rcs.2049

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  1 in total

Review 1.  Machine learning in the optimization of robotics in the operative field.

Authors:  Runzhuo Ma; Erik B Vanstrum; Ryan Lee; Jian Chen; Andrew J Hung
Journal:  Curr Opin Urol       Date:  2020-11       Impact factor: 2.808

  1 in total

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