The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Real-Time Estimation of 3-D Needle Shape and Deflection for MRI-Guided Interventions
Open accessAbstract
We describe a MRI-compatible biopsy needle instrumented with optical fiber Bragg gratings for measuring bending deflections of the needle as it is inserted into tissues. During procedures, such as diagnostic biopsies and localized treatments, it is useful to track any tool deviation from the planned trajectory to minimize positioning errors and procedural complications. The goal is to display tool deflections in real time, with greater bandwidth and accuracy than when viewing the tool in MR images. A standard 18 ga × 15 cm inner needle is prepared using a fixture, and 350-μm-deep grooves are created along its length. Optical fibers are embedded in the grooves. Two sets of sensors, located at different points along the needle, provide an estimate of the bent profile, as well as temperature compensation. Tests of the needle in a water bath showed that it produced no adverse imaging artifacts when used with the MR scanner.
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
Solving Least Squares Problems
Lawson, C. L., & Hanson, R. J. (1995) · doi:10.1137/1.9781611971217 · Cited by 7,103
Iordachita, I., Sun, Z., Balicki, M., Kang, J. U., Phee, S. J., Handa, J., Gehlbach, P., & Taylor, R. (2009) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-009-0301-6 · Cited by 181
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
A Path Beyond Metal and Silicon:Polymer/Nanomaterial Composites for Stretchable Strain Sensors
Qiu, A., Li, P., Yang, Z., Yao, Y., Lee, I., & Ma, J. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201806306 · Cited by 237
Material approaches to stretchable strain sensors
Park, J., You, I., Shin, S., & Jeong, U. (2015) · ChemPhysChem · doi:10.1002/cphc.201402810 · Cited by 216
Metadata
- Authors
- Park, Y.-L., Elayaperumal, S., Daniel, B., Ryu, S. C., Shin, M., Savall, J., Black, R. J., Moslehi, B., & Cutkosky, M. R.
- Venue
- IEEE/ASME Transactions on Mechatronics
- Published
- 2010-12
- Volume
- 15
- Issue
- 6
- Pages
- 906-915
- ISSN
- 1083-4435 (ISSN-L)
- 1941-014X
- OpenAlex
- W2099745446
- Cited by
- 266
- References
- 2
- FWCI
- 8.97
- Type
- journal article
- Language
- en
- Open access
- green
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: Real-Time Estimation of 3-D Needle Shape and Deflection for MRI-Guided Interventions. https://app.cochat.ai/papers/10.1109/tmech.2010.2080360
- The paper
- Park, Y.-L., Elayaperumal, S., Daniel, B., Ryu, S. C., Shin, M., Savall, J., Black, R. J., Moslehi, B., & Cutkosky, M. R. (2010). Real-Time Estimation of 3-D Needle Shape and Deflection for MRI-Guided Interventions. IEEE/ASME Transactions on Mechatronics. https://doi.org/10.1109/tmech.2010.2080360
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.