The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Three-Dimensional Tissue Deformation Recovery and Tracking
Abstract
Recent advances in surgical robotics have provided a platform for extending the current capabilities of minimally invasive surgery by incorporating both preoperative and intraoperative imaging data. In this tutorial article, we introduce techniques for in vivo three-dimensional (3-D) tissue deformation recovery and tracking based on laparoscopic or endoscopic images. These optically based techniques provide a unique opportunity for recovering surface deformation of the soft tissue without the need of additional instrumentation. They can therefore be easily incorporated into the existing surgical workflow. Technically, the problem formulation is challenging due to nonrigid deformation of the tissue and instrument interaction. Current approaches and future research directions in terms of intraoperative planning and adaptive surgical navigation are explained in detail.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955
MonoSLAM: Real-time single camera SLAM
Davison, A. J., Reid, I. D., Molton, N. D., & Stasse, O. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1049 · Cited by 3,959
Monocular model-based 3D tracking of rigid objects: a survey
Lepetit, V., & Fua, P. (2005) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000001 · Cited by 484
Cited by
Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey
Shi, C., Luo, X., Qi, P., Li, T., Song, S., Najdovski, Z., Fukuda, T., & Ren, H. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2622361 · Cited by 420
Metadata
- Authors
- Mountney, P., Stoyanov, D., & Yang, G.-Z.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2010-07
- Volume
- 27
- Issue
- 4
- Pages
- 14-24
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2049372418
- Cited by
- 188
- References
- 4
- FWCI
- 12.16
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Three-Dimensional Tissue Deformation Recovery and Tracking. https://app.cochat.ai/papers/10.1109/msp.2010.936728
- The paper
- Mountney, P., Stoyanov, D., & Yang, G.-Z. (2010). Three-Dimensional Tissue Deformation Recovery and Tracking. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2010.936728
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
