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Cited by 184Spinal Fractures and Fixation TechniquesBone fractures and treatmentsAnatomy and Medical Technology

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Computer-assisted orthopedic surgery

Sugano, Nobuhiko·2003·Journal of Orthopaedic Science
DOI 10.1007/s10776-002-0623-6
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Abstract

Computer-assisted surgery (CAS) utilizing robotic or image-guided technologies has been introduced into various orthopedic fields. Navigation and robotic systems are the most advanced parts of CAS, and their range of functions and applications is increasing. Surgical navigation is a visualization system that gives positional information about surgical tools or implants relative to a target organ (bone) on a computer display. There are three types of surgical planning that involve navigation systems. One makes use of volumetric images, such as computed tomography, magnetic resonance imaging, or ultrasound echograms. Another makes use of intraoperative fluoroscopic images. The last type makes use of kinetic information about joints or morphometric information about the target bones obtained intraoperatively. Systems that involve these planning methods are called volumetric image-based navigation, fluoroscopic navigation, and imageless navigation, respectively. To overcome the inaccuracy of hand-controlled positioning of surgical tools, three robotic systems have been developed. One type directs a cutting guide block or a drilling guide sleeve, with surgeons sliding a bone saw or a drill bit through the guide instrument to execute a surgical action. Another type constrains the range of movement of a surgical tool held by a robot arm such as ACROBOT. The last type is an active system, such as ROBODOC or CASPAR, which directs a milling device automatically according to preoperativ…

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  • Image-based navigation techniques as well as visual servoing of surgical robots will also require high-precision 2D/3D registration at video frame-rates.

    “This is because image-based navigation techniques (Sugano, 2003; Hummel et al., 2008; Tucker et al., 2018) as well as visual servoing of surgical robots (Yi et al., 2018; Gao et al., 2019; Unberath et al., 2019) will also require high-precision 2D/3D registration at video frame-rates.”

    From The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective (2021) · cites this paper as Sugano, 2003

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Metadata

Authors
Sugano, N.
Affiliations
The University of Osaka (JP)
Corresponding author
Sugano, Nobuhiko
ORCID
Sugano, Nobuhiko
Venue
Journal of Orthopaedic Science
Publisher
Elsevier BV
Published
2003-05
Volume
8
Issue
3
Pages
442-448
ISSN
0949-2658 (ISSN-L)
DOI
10.1007/s10776-002-0623-6
OpenAlex
W2052528385
Cited by
184
References
53
Citations by year
2026: 4 · 2025: 8 · 2024: 6 · 2023: 6 · 2022: 5 · 2021: 11 · 2020: 4 · 2019: 6 · 2018: 9 · 2017: 9 · 2016: 11 · 2015: 9 · 2014: 4 · 2013: 14 · 2012: 8
FWCI
8.31
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Journal of Orthopaedic Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Surgery › Spinal Fractures and Fixation Techniques
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone fractures and treatments
  • Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
Keywords
computer-assisted surgery, orthopedic surgery, surgical navigation, robotic surgery, image-guided surgery, fluoroscopic navigation, imageless navigation, surgical planning, cutting guides, robot manipulators, Acrobot, ROBODOC, CASPAR
MeSH terms
Humans, Robotics, Cost Savings, Orthopedic Procedures, Surgery, Computer-Assisted

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