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Cited by 420

The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey

Open access
Shi, Chaoyang, Luo, Xiongbiao, Qi, Peng, Li, Tianliang, Song, Shuang, Najdovski, Zoran, Fukuda, Toshio, Ren, Hongliang·2017·IEEE Transactions on Biomedical Engineering

Abstract

Continuum robots provide inherent structural compliance with high dexterity to access the surgical target sites along tortuous anatomical paths under constrained environments and enable to perform complex and delicate operations through small incisions in minimally invasive surgery. These advantages enable their broad applications with minimal trauma and make challenging clinical procedures possible with miniaturized instrumentation and high curvilinear access capabilities. However, their inherent deformable designs make it difficult to realize 3-D intraoperative real-time shape sensing to accurately model their shape. Solutions to this limitation can lead themselves to further develop closely associated techniques of closed-loop control, path planning, human-robot interaction, and surgical manipulation safety concerns in minimally invasive surgery. Although extensive model-based research that relies on kinematics and mechanics has been performed, accurate shape sensing of continuum robots remains challenging, particularly in cases of unknown and dynamic payloads. This survey investigates the recent advances in alternative emerging techniques for 3-D shape sensing in this field and focuses on the following categories: fiber-optic-sensor-based, electromagnetic-tracking-based, and intraoperative imaging modality-based shape-reconstruction methods. The limitations of existing technologies and prospects of new technologies are also discussed.

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Metadata

Authors
Shi, C., Luo, X., Qi, P., Li, T., Song, S., Najdovski, Z., Fukuda, T., & Ren, H.
Venue
IEEE Transactions on Biomedical Engineering
Published
2017-08
Volume
64
Issue
8
Pages
1665-1678
ISSN
  • 0018-9294 (ISSN-L)
  • 1558-2531
OpenAlex
W2544641369
Cited by
420
References
82
FWCI
10.49
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey. https://app.cochat.ai/papers/10.1109/tbme.2016.2622361
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Shi, C., Luo, X., Qi, P., Li, T., Song, S., Najdovski, Z., Fukuda, T., & Ren, H. (2017). Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/tbme.2016.2622361

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