Experimental evaluation of ultrasound-guided 3D needle steering in biological tissue

Momen Abayazid*, Gustaaf J. Vrooijink, Sachin Patil, Ron Alterovitz, Sarthak Misra

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

Abstract

Purpose: In this paper, we present a system capable of automatically steering bevel tip flexible needles under ultrasound guidance toward stationary and moving targets in gelatin phantoms and biological tissue while avoiding stationary and moving obstacles. We use three-dimensional (3D) ultrasound to track the needle tip during the procedure.

Methods: Our system uses a fast sampling-based path planner to compute and periodically update a feasible path to the target that avoids obstacles. We then use a novel control algorithm to steer the needle along the path in a manner that reduces the number of needle rotations, thus reducing tissue damage. We present experimental results for needle insertion procedures for both stationary and moving targets and obstacles for up to 90 mm of needle insertion.

Results: We obtained a mean targeting error of 0.32(Formula presented.)0.10 mm in gelatin-based phantom and biological tissue, respectively.

Conclusions: The achieved submillimeter accuracy suggests that our approach is sufficient to target the smallest lesions ((Formula presented.) 2 mm) that can be detected using state-of-the-art ultrasound imaging systems.

Original languageEnglish
Pages (from-to)931-939
Number of pages9
JournalInternational journal of computer assisted radiology and surgery
Volume9
Issue number6
DOIs
StatePublished - Nov 2014
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2014, CARS.

Keywords

  • Computer-assisted surgery
  • Image-guided control
  • Medical robots and systems
  • Minimally invasive surgery
  • Needle–tissue interactions
  • Ultrasound

ASJC Scopus subject areas

  • Surgery
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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