Article... International Symposium on Medical Robotics. International Symposium on Medical Robotics2023
Optical Fiber -Based Needle Shape Sensing: Three-channel Single Core vs. Multicore Approaches.
Article in ... International Symposium on Medical Robotics. International Symposium on Medical Robotics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- A Framework to Optimize Channel and Active Area Usage in Multicore Fibers for Needle Shape Sensing.Journal of medical robotics research · 2026Article
- FBG-based Shape-Sensing to Enable Lateral Deflection Methods of Autonomous Needle Insertion.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2024Article
- Simulation-based Flexible Needle Control with Single-core FBG Feedback for Spinal Injections.IEEE transactions on medical robotics and bionics · 2024Article
- Hybrid Deep Learning and Model-Based Needle Shape Prediction.IEEE sensors journal · 2024Article
- Optical Fiber-Based Needle Shape Sensing in Real Tissue: Single Core vs. Multicore Approaches.ArXiv · 2023Article
- Optical Fiber-Based Needle Shape Sensing in Real Tissue: Single Core vs. Multicore Approaches.Journal of medical robotics researchArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Bevel-tip needles are commonly utilized in percutaneous medical interventions where a curved insertion trajectory is required. To avoid deviation from the intended trajectory, needle shape sensing and tip localization is crucial in providing the operator with feedback. There is an abundance of previous work that investigate the medical application of fiber Bragg grating (FBG) sensors, but most works select only one specific type of fiber among the many available sensor options to integrate into their hardware designs. In this work, we compare two different types of FBG sensors under identical conditions and application, namely, acting as the sensor for needle insertion shape reconstruction. We built a three-channel single core needle and a seven-channel multicore fiber (MCF) needle and discuss the pros and cons of both constructions for shape sensing experiments into constant curvature jigs. The overall needle tip error is 1.23 mm for the single core needle and 2.08 mm for the multicore needle.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.