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

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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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Authors: Mirota, D. J., Ishii, M., & Hager, G. D.
Affiliations: Johns Hopkins University (US)
ORCID: Ishii, Masaru
Hager, Gregory D.
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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Vision-Based Navigation in Image-Guided Interventions

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