Research Article
Open access
Published on 25 September 2023
Download pdf
Jin,T. (2023). Application of SLAM in the biomedical field. Applied and Computational Engineering,12,22-27.
Export citation

Application of SLAM in the biomedical field

Tianyu Jin *,1,
  • 1 Xi’an University of Technology

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/12/20230289

Abstract

With the continuous development and improvement of sensors, sensor technology is also constantly making breakthroughs. It is also widely used in various fields of medicine today. This article summarizes the practice of two types of SLAM (Simultaneous Localization and Mapping) in medicine. The detection and matching of human luminal feature points under SLAM were studied so as to reconstruct the human internal environment so that doctors can obtain three-dimensional reconstruction feedback within the surgical range and improve the safety of surgery. And for different surgical environments, the same SLAM is improved on the basis of innovation, which is more suitable for different scenarios. Three algorithms are described in this article for taking images of the inside of the abdominal cavity and collecting data based on the images using different algorithms. Based on the collected data, the internal abdominal cavity is reconstructed in 3D. Finally, a three-dimensional visualization system for the abdominal cavity was constructed. It has important research significance in the field of medical auxiliary research.

Keywords

SLAM; biomedicine; three-dimensional reconstruction.

[1]. Liu Y, Miura J. RDS-SLAM: Real-Time Dynamic SLAM Using Semantic Segmentation Methods[J]. IEEE Access. 2021, 9: 23772-23785.

[2]. Mur-Artal R, Tardos J D. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras[J]. IEEE Transactions on Robotics. 2017, 33(5): 1255-1262.

[3]. Ciuti G, Visentiniscarzanella M, Dore A, et al. Intra-operative Monocular 3D Reconstruction for Image-guided Navigation in Active Locomotion Capsule Endoscopy[C]. IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), Rome, Italy, 2012: 768-774.

[4]. Noohi E, Parastegari S, Žefran M. Using monocular images to estimate interaction forces during minimally invasive surgery[C]. IEEE/RSJ International Conference on Intelligent Robots and Systems, Chicago, IL, USA, 2014:

[5]. Yang D, Zhao Y, Liu J, et al. A 3D Reconstruction Method for Gastroscopic Minimally Invasive Surgery[C]. Chinese Conference on Image and Graphics Technologies, Springer, Berlin, Heidelberg, 2015: 243-250.

[6]. Turan M, Pilavci Y Y, Ganiyusufoglu I, et al. Sparse-then-Dense Alignment based 3D Map Reconstruction Method for Endoscopic Capsule Robots[J]. Machine Vision and Applications, 2018, 29(2): 345-359.

[7]. Li L, Li X, Yang S, et al. Unsupervised-Learning-Based Continuous Depth and Motion Estimation With Monocular Endoscopy for Virtual Reality Minimally Invasive Surgery[J]. IEEE Transactions on Industrial Informatics, 2020, 17(6): 3920-3928

[8]. Wang Y,Wu H. Research on Feature Points Detection and Matching Method in Human Lumen 3D Reconstruction Based on SLAM[C]1994-2022 China Academic Journal Electtonic Publishing House,2021:

[9]. Wang LY, Wang Y, Chen XD, et al. Vascular enhancement of MSCT images based on fast Hessian matrix[J]. Nanotechnology and precision engineering, 2018, 1(01): 43-49.

[10]. Rosten E. Machine learning for high-speed corner detection[J]. 2006: 56-58

Cite this article

Jin,T. (2023). Application of SLAM in the biomedical field. Applied and Computational Engineering,12,22-27.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2023 International Conference on Mechatronics and Smart Systems

Conference website: https://2023.confmss.org/
ISBN:978-1-83558-013-4(Print) / 978-1-83558-014-1(Online)
Conference date: 24 June 2023
Editor:Seyed Ghaffar, Alan Wang
Series: Applied and Computational Engineering
Volume number: Vol.12
ISSN:2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).