ArticleScientific reports2021
Design and analysis of a fiber-optic sensing system for shape reconstruction of a minimally invasive surgical needle.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 48 citations in OpenAlex.
- Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Improved deformation reconstruction of composite material structures based on optical fiber sensing.Scientific reports · 2025Article
- Article
- Simulation-based Flexible Needle Control with Single-core FBG Feedback for Spinal Injections.IEEE transactions on medical robotics and bionics · 2024Article
- Fully Distributed Shape Sensing of a Flexible Surgical Needle Using Optical Frequency Domain Reflectometry for Prostate Interventions.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2024Article
- Bite Force Mapping Based on Distributed Fiber Sensing Network Approach.Sensors (Basel, Switzerland) · 2024Article
- Investigation of High-Resolution Distributed Fiber Sensing System Embedded in Flexible Silicone Carpet for 2D Pressure Mapping.Sensors (Basel, Switzerland) · 2022Article
- Rayleigh-Based Distributed Optical Fiber Sensing.Sensors (Basel, Switzerland) · 2022Review
- Cost-Effective Fiber Optic Solutions for Biosensing.Biosensors · 2022Review
- Phase-separated Ca and Mg-based nanoparticles in SiO[Formula: see text] glass investigated by molecular dynamics simulations.Scientific reports · 2022Article
- Fiber-Optic Distributed Sensing Network for Thermal Mapping of Gold Nanoparticles-Mediated Radiofrequency Ablation.Biosensors · 2022Article
- Fiber Optic Distributed Sensing Network for Shape Sensing-Assisted Epidural Needle Guidance.Biosensors · 2021Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents the performance analysis of the system for real-time reconstruction of the shape of the rigid medical needle used for minimally invasive surgeries. The system is based on four optical fibers glued along the needle at 90 degrees from each other to measure distributed strain along the needle from four different sides. The distributed measurement is achieved by the interrogator which detects the light scattered from each section of the fiber connected to it and calculates the strain exposed to the fiber from the spectral shift of that backscattered light. This working principle has a limitation of discriminating only a single fiber because of the overlap of backscattering light from several fibers. In order to use four sensing fibers, the Scattering-Level Multiplexing (SLMux) methodology is applied. SLMux is based on fibers with different scattering levels: standard single-mode fibers (SMF) and MgO-nanoparticles doped fibers with a 35-40 dB higher scattering power. Doped fibers are used as sensing fibers and SMFs are used to spatially separate one sensing fiber from another by selecting appropriate lengths of SMFs. The system with four fibers allows obtaining two pairs of opposite fibers used to reconstruct the needle shape along two perpendicular axes. The performance analysis is conducted by moving the needle tip from 0 to 1 cm by 0.1 cm to four main directions (corresponding to the locations of fibers) and to four intermediate directions (between neighboring fibers). The system accuracy for small bending (0.1-0.5 cm) is 90[Formula: see text] and for large bending (0.6-1 cm) is approximately 92[Formula: see text].
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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.