Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

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A Review of Integrating Visual SLAM Technology into Minimally Invasive Surgery Environment to Optimize Surgical Scene

Authors
Chang Gao1, *
1School of automation, University of Science and Technology Beijing, Beijing, 100080, China
*Corresponding author. Email: U202243344@xs.ustb.edu.cn
Corresponding Author
Chang Gao
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_28How to use a DOI?
Keywords
MIS-SLAM; SD-DEFSLAM; RGB-DSLAM; Minimally Invasive surgery
Abstract

Minimally invasive surgery (MIS) does offer many advantages over traditional open surgery, including less trauma, shorter hospital stay, less pain, and a lower risk of infection. However, there are some limitations to Mis, especially the technical challenges associated with the surgical scenario. Based on the literature in recent years, the main methods of scene optimization in MIS combined with slam were compared, and three visual slam methods were selected to compare, analyze and discuss them. Through the comparison and discussion of the three methods and the analysis of the limitations and advantages of each technology, it can be seen that there is still a certain space for progress in the field of MIS. Among the three technologies, MIS-SLAM technology can realize large-scale localization and intensive mapping in real time, which makes it have great application potential in the medical field. By transforming and morphing the current model, the technology not only retains vivid texture information, but also gradually integrates new observations to build a more accurate and comprehensive three-dimensional scene.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_28How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chang Gao
PY  - 2024
DA  - 2024/09/23
TI  - A Review of Integrating Visual SLAM Technology into Minimally Invasive Surgery Environment to Optimize Surgical Scene
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 245
EP  - 253
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_28
DO  - 10.2991/978-94-6463-512-6_28
ID  - Gao2024
ER  -