ArticleProceedings of the ASME Dynamic Systems and Control Conference. ASME Dynamic Systems and Control Conference2020
STEERABLE NEEDLE TRAJECTORY FOLLOWING IN THE LUNG: TORSIONAL DEADBAND COMPENSATION AND FULL POSE ESTIMATION WITH 5DOF FEEDBACK FOR NEEDLES PASSING THROUGH FLEXIBLE ENDOSCOPES.
Article in Proceedings of the ASME Dynamic Systems and Control Conference. ASME Dynamic Systems and Control Conference, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Fusing Prediction and Perception: Adaptive Kalman Filter-Driven Respiratory Gating for MR Surgical Navigation.Sensors (Basel, Switzerland) · 2026Article
- Safe Start Regions for Medical Steerable Needle Automation.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2025Article
- Autonomous medical needle steering in vivo.Science robotics · 2023Article
- Toward certifiable optimal motion planning for medical steerable needles.The International journal of robotics research · 2023Article
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Authors and funding
14 authors at 5 institutions in 1 country.
Funding
Abstract
Bronchoscopic diagnosis and intervention in the lung is a new frontier for steerable needles, where they have the potential to enable minimally invasive, accurate access to small nodules that cannot be reliably accessed today. However, the curved, flexible bronchoscope requires a much longer needle than prior work has considered, with complex interactions between the needle and bronchoscope channel, introducing new challenges in steerable needle control. In particular, friction between the working channel and needle causes torsional windup along the bronchoscope, the effects of which cannot be directly measured at the tip of thin needles embedded with 5 degree-of-freedom magnetic tracking coils. To compensate for these effects, we propose a new torsional deadband-aware Extended Kalman Filter to estimate the full needle tip pose including the axial angle, which defines its steering direction. We use the Kalman Filter estimates with an established sliding mode controller to steer along desired trajectories in lung tissue. We demonstrate that this simple torsional deadband model is sufficient to account for the complex interactions between the needle and endoscope channel for control purposes. We measure mean final targeting error of 1.36 mm in phantom tissue and 1.84 mm in ex-vivo porcine lung, with mean trajectory following error of 1.28 mm and 1.10 mm, respectively.
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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.