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Annals of Biomedical Engineering

, Volume 46, Issue 9, pp 1385–1396 | Cite as

Automatic Robotic Steering of Flexible Needles from 3D Ultrasound Images in Phantoms and Ex Vivo Biological Tissue

  • Paul Mignon
  • Philippe Poignet
  • Jocelyne TroccazEmail author
Article

Abstract

Robotic control of needle bending aims at increasing the precision of percutaneous procedures. Ultrasound feedback is preferable for its clinical ease of use, cost and compactness but raises needle detection issues. In this paper, we propose a complete system dedicated to robotized guidance of a flexible needle under 3D ultrasound imaging. This system includes a medical robot dedicated to transperineal needle positioning and insertion, a rapid path planning for needle steering using bevel-tip needle natural curvature in tissue, and an ultrasound-based automatic needle detection algorithm. Since ultrasound-based automatic needle steering is often made difficult by the needle localization in biological tissue, we quantify the benefit of using flexible echogenic needles for robotized guidance under 3D ultrasound. The “echogenic” term refers to the etching of microstructures on the needle shaft. We prove that these structures improve needle visibility and detection robustness in ultrasound images. We finally present promising results when reaching targets using needle steering. The experiments were conducted with various needles in different media (synthetic phantoms and ex vivo biological tissue). For instance, with nitinol needles the mean accuracy is 1.2 mm (respectively 3.8 mm) in phantoms (resp. biological tissue).

Keywords

Needle steering Needle detection 3D ultrasound Echogenic needle Ex-vivo tissue Robotics 

Notes

Acknowledgments

This work was partly supported by the French ANR within the “Investissements d’Avenir” program (Labex CAMI) under reference ANR-11-LABX-0004.

Supplementary material

Supplementary material 1 (MP4 49885 kb)

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Copyright information

© Biomedical Engineering Society 2018

Authors and Affiliations

  1. 1.Université Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAGGrenobleFrance
  2. 2.LIRMM, Université de Montpellier, CNRSMontpellierFrance
  3. 3.TIMC-IMAG Laboratory, Pavillon Taillefer, School of MedicineLa Tronche CedexFrance

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