ArticleInternational journal of computer assisted radiology and surgery2019
Fiber optical shape sensing of flexible instruments for endovascular navigation.
Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 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
- Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Evaluation of Fiber Optic Shape Sensing Models for Minimally Invasive Prostate Needle Procedures Using OFDR Data.IEEE sensors journal · 2025Article
- Rapid and Accurate Shape-Sensing Method Using a Multi-Core Fiber Bragg Grating-Based Optical Fiber.Sensors (Basel, Switzerland) · 2025Article
- Aortic roadmapping during EVAR: a combined FEM-EM tracking feasibility study.International journal of computer assisted radiology and surgery · 2024Article
- Vessel-based CTA-image to spatial anatomy registration using tracked catheter position data: preclinical evaluation of in vivo accuracy.European radiology experimental · 2024Article
- A Steerable and Electromagnetically Tracked Catheter: Navigation Performance Compared With Image Fusion in a Swine Model.Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists · 2024Article
- A Novel Catheter Shape-Sensing Method Based on Deep Learning with a Multi-Core Optical Fiber.Sensors (Basel, Switzerland) · 2023Article
- Reconfiguration Error Correction Model for an FBG Shape Sensor Based on the Sparrow Search Algorithm.Sensors (Basel, Switzerland) · 2023Article
- Lie-Group Theoretic Approach to Shape-Sensing Using FBG-Sensorized Needles Including Double-Layer Tissue and S-Shape Insertions.IEEE sensors journal · 2022Article
- Rayleigh-Based Distributed Optical Fiber Sensing.Sensors (Basel, Switzerland) · 2022Review
- Research on Straightness Perception Compensation Model of FBG Scraper Conveyor Based on Rotation Error Angle.Sensors (Basel, Switzerland) · 2022Article
- Magnetic Soft Materials and Robots.Chemical reviews · 2022Review
- Recent Advances in Biomedical Photonic Sensors: A Focus on Optical-Fibre-Based Sensing.Sensors (Basel, Switzerland) · 2021Review
- Shape accuracy of fiber optic sensing for medical devices characterized in bench experiments.Medical physics · 2021Article
- Shape Reconstruction Processes for Interventional Application Devices: State of the Art, Progress, and Future Directions.Frontiers in robotics and AI · 2021Review
- Hybrid LPG-FBG Based High-Resolution Micro Bending Strain Sensor.Sensors (Basel, Switzerland) · 2020Article
- Three-dimensional guidance including shape sensing of a stentgraft system for endovascular aneurysm repair.International journal of computer assisted radiology and surgery · 2020Article
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Authors and funding
5 authors.
Funding
Abstract
purposeEndovascular aortic repair procedures are currently conducted with 2D fluoroscopy imaging. Tracking systems based on fiber Bragg gratings are an emerging technology for the navigation of minimally invasive instruments which can reduce the X-ray exposure and the used contrast agent. Shape sensing of flexible structures is challenging and includes many calculations steps which are prone to different errors. To reduce this errors, we present an optimized shape sensing model.
methodsWe analyzed for every step of the shape sensing process, which errors can occur, how the error affects the shape and how it can be compensated or minimized. Experiments were done with one multicore fiber system with 38 cm sensing length, and the effects of different methods and parameters were analyzed. Furthermore, we compared 3D shape reconstructions with the segmented shape of the corresponding CT scans of the fiber to evaluate the accuracy of our optimized shape sensing model. Finally, we tested our model in a realistic endovascular scenario by using a 3D printed vessel system created from patient data.
resultsDepending on the complexity of the shape, we reached an average error of 0.35-1.15 mm and maximal error of 0.75-7.53 mm over the whole 38 cm sensing length. In the endovascular scenario, we obtained an average and maximal error of 1.13 mm and 2.11 mm, respectively.
conclusionThe accuracies of the 3D shape sensing model are promising, and we plan to combine the shape sensing based on fiber Bragg gratings with the position and orientation of an electromagnetic tracking to obtain the located catheter shape.
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