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Cited by 137Medical Image Segmentation TechniquesSurgical Simulation and TrainingAugmented Reality Applications

The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.

Vision-Based Navigation in Image-Guided Interventions

Mirota, Daniel J., Ishii, Masaru, Hager, Gregory D.·2011·Annual Review of Biomedical Engineering
DOI 10.1146/annurev-bioeng-071910-124757
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Abstract

The trend toward minimally invasive surgical interventions has created new challenges for visualization during surgical procedures. However, at the same time, the introduction of high-definition digital endoscopy offers the opportunity to apply methods from computer vision to provide visualization enhancements such as anatomic reconstruction, surface registration, motion tracking, and augmented reality. This review provides a perspective on this rapidly evolving field. It first introduces the clinical and technical background necessary for developing vision-based algorithms for interventional applications. It then discusses several examples of clinical interventions where computer vision can be applied, including bronchoscopy, rhinoscopy, transnasal skull-base neurosurgery, upper airway interventions, laparoscopy, robotic-assisted surgery, and Natural Orifice Transluminal Endoscopic Surgery (NOTES). It concludes that the currently reported work is only the beginning. As the demand for minimally invasive procedures rises, computer vision in surgery will continue to advance through close interdisciplinary work between interventionists and engineers.

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Crossref · 10.1146/annurev-bioeng-071910-124757

Cites

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Citations

Cites

Show all 98 references

Research works printed but not linked: 14

  1. Désormeaux AJ., 1855, C.R. Hébd. Séances Acad. Sci., 40, 692
  2. Shi J, 1994, Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn., June 21–23, Seattle, 593
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  4. Ng R, 2005, Comput. Sci. Tech. Rep. CTSR 2005-02
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  6. Höller K, 2008, Biosignal-verarbeitung, 180
  7. Nolte LP, 1994, Proc. First Int. Symp. Med. Robot. Comput. Assist. Surg., Sept. 22–24, Pittsburgh, Pa., 323
  8. 59. Bucholz RD, Smith KR. 1993. A comparison of sonic digitizers versus light emitting diode-based localization. See Reference 57, pp. 179–200
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  10. Hofstetter R, 1999, Proc. Comput. Assist. Orthop. Surg. Symp., 4th, Davos, Switz., 28
  11. Poulin F, 2001, Proc. Comput. Assist. Orthop. Surg. Symp. USA, July 6–8, Pittsburgh, Pa., 233
  12. Reinhardt HF., 1996, Computer-Integrated Surgery, 329
  13. Lucas B, 1981, Proc. Int. Jt. Conf. Artif. Intell., Aug. 24–28, Vancouver, Can., 674
  14. 106. Höller K, Hempel S, Engelbrecht R, Hornegger J, Feussner H. 2010. Distance calibration with a time-of-flight 3-D endoscope. Presented at Russ. Bavar. Conf. Biomed. Eng., 6th, Moscow

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Metadata

Authors
Mirota, D. J., Ishii, M., & Hager, G. D.
Affiliations
Johns Hopkins University (US)
ORCID
Venue
Annual Review of Biomedical Engineering
Publisher
Annual Reviews
Published
2011-08-15
Volume
13
Issue
1
Pages
297-319
ISSN
  • 1523-9829 (ISSN-L)
  • 1545-4274
DOI
10.1146/annurev-bioeng-071910-124757
OpenAlex
W2146082292
Cited by
137
References
98
Citations by year
2026: 2 · 2025: 2 · 2024: 2 · 2023: 35 · 2022: 3 · 2021: 7 · 2020: 8 · 2019: 5 · 2018: 4 · 2017: 11 · 2016: 10 · 2015: 8 · 2014: 18 · 2013: 13 · 2012: 7
FWCI
2.72
Type
journal article
Language
en
Open access
closed
Locations
  • Annual Review of Biomedical Engineering (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Science Foundation
  • National Institutes of Health
  • National Cancer Institute (R01-CA127144)
  • National Institute of Biomedical Imaging and Bioengineering (R21-EB005201-01A, R21EB008490, R21EB005201)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Health Sciences › Medicine › Surgery › Surgical Simulation and Training
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
Keywords
visual navigation, image-guided surgery, minimally invasive surgery, augmented reality, surface registration, motion tracking, anatomical reconstruction, bronchoscopy, rhinoscopy, laparoscopy, robotic surgery, natural orifice transluminal endoscopic surgery, endoscopy
MeSH terms
Algorithms, Bronchoscopy, Diagnostic Imaging, Humans, Laparoscopy, Robotics, Neurosurgical Procedures, Video-Assisted Surgery, Surgery, Computer-Assisted, Natural Orifice Endoscopic Surgery

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