Cited by 71Medical Image Segmentation TechniquesAnatomy and Medical TechnologyAdvanced Radiotherapy Techniques

A Review of Recent Advances in Registration Techniques Applied to Minimally Invasive Therapy

Liao, Rui, Zhang, Li, Sun, Ying, Miao, Shun, Chefd'Hotel, Christophe·2013·IEEE Transactions on Multimedia

Abstract

Minimally invasive and less invasive procedure is becoming more and more common in medical therapy. Image guidance is an indispensable component in minimally invasive procedures by providing critical information about the position of the target sites and the optimal manipulation of the devices, while the field of view is limited to naked eyes due to the small incision. Registration is one of the enabling technologies for computer-aided image guidance, which brings high-resolution pre-operative data into the operating room to provide more realistic information about the patient's anatomy. In this paper, we survey the recent advances in registration techniques applied to minimally and/or less invasive therapy, including a wide variety of therapies in surgery, endoscopy, interventional cardiology, interventional radiology, and hybrid procedures. The registration approaches are categorized into several groups, including projection-to-volume, slice-to-volume, video-to-volume, and volume-to-volume registration. The focus is on recent advances in registration techniques that are specifically developed for minimally and/or less invasive procedures in the following medical specialties: neuroradiology and neurosurgery, cardiac applications, and thoracic-abdominal interventions.

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Crossref · 10.1109/tmm.2013.2244869

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  • A central component to many if not most image-guided navigation solutions is image-based 2D/3D registration.

    “A central component to many if not most image-guided navigation solutions is image-based 2D/3D registration, which estimates the spatial relationship between a 3D model of the scene (potentially including anatomy and instrumentation) and 2D interventional images thereof (Markelj et al., 2012; Liao et al., 2013).”

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References 186 · Cited by 71

Authors
Liao, R., Zhang, L., Sun, Y., Miao, S., & Chefd'Hotel, C.
Affiliations
  • Siemens (United States) (US)
  • National University of Singapore (SG)
Venue
IEEE Transactions on Multimedia
Published
2013-08
Volume
15
Issue
5
Pages
983-1000
ISSN
  • 1520-9210 (ISSN-L)
  • 1941-0077
OpenAlex
W1974077393
Cited by
71
References
186
Citations by year
2026: 3 · 2025: 4 · 2024: 2 · 2023: 5 · 2022: 5 · 2021: 10 · 2020: 4 · 2019: 5 · 2017: 13 · 2016: 7 · 2015: 6 · 2014: 4 · 2013: 3
FWCI
7.49
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Transactions on Multimedia (publishedVersion)
  • National University of Singapore (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
  • Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
Keywords
image registration, minimally invasive surgery, image-guided surgery, slice-to-volume registration, endoscopy, interventional cardiology, interventional radiology, hybrid procedure, neuroradiology, neurosurgery

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