Simulation-based Flexible Needle Control with Single-core FBG Feedback for Spinal Injections

Overview

Journal IEEE Trans Med Robot Bionics

Publisher IEEE

Specialty Biomedical Engineering

Date 2024 Aug 12

PMID 39131204

Authors

Yanzhou Wang

Yangsheng Xu

Jiarong Kang

Jan Fritz

Iulian Iordachita

Affiliations

Soon will be listed here.

Abstract

Objective: We present a general framework of simultaneous needle shape reconstruction and control input generation for robot-assisted spinal injection procedures, without continuous imaging feedback.

Methods: System input-output mapping is generated with a real-time needle-tissue interaction simulation, and single-core FBG sensor readings are used as local needle shape feedback within the same simulation framework. FBG wavelength shifts due to temperature variation is removed by exploiting redundancy in fiber arrangement.

Results: Targeting experiments performed on both plastisol lumbar phantoms as well as an porcine lumbar section achieved in-plane tip errors of and , and total tip errors of and for the two testing environments.

Significance: Our clinically inspired control strategy and workflow is self-contained and not dependent on the modality of imaging guidance. The generalizability of the proposed approach can be applied to other needle-based interventions where medical imaging cannot be reliably utilized as part of a closed-loop control system for needle guidance.

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