A Review of Recent Advances in Registration Techniques Applied to Minimally Invasive Therapy
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.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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).”
From The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective (2021) · cites this paper as Liao et al., 2013
The citation lists haven’t been fetched yet
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review