A methodical quantification of needle visibility and echogenicity in ultrasound images

Journal Article (2019)
Author(s)

N.J. van de Berg (TU Delft - Medical Instruments & Bio-Inspired Technology)

Juan A. Sanchez-Margallo (SINTEF, University of Extremadura)

Arjan P. van Dijke (TU Delft - Medical Instruments & Bio-Inspired Technology)

Thomas Langø (SINTEF)

J. van den Dobbelsteen (TU Delft - Medical Instruments & Bio-Inspired Technology)

Research Group
Medical Instruments & Bio-Inspired Technology
Copyright
© 2019 N.J. van de Berg, Juan A. Sánchez-Margallo, A.P. van Dijke, Thomas Langø, J.J. van den Dobbelsteen
DOI related publication
https://doi.org/10.1016/j.ultrasmedbio.2018.10.004
More Info
expand_more
Publication Year
2019
Language
English
Copyright
© 2019 N.J. van de Berg, Juan A. Sánchez-Margallo, A.P. van Dijke, Thomas Langø, J.J. van den Dobbelsteen
Research Group
Medical Instruments & Bio-Inspired Technology
Issue number
4
Volume number
45
Pages (from-to)
998-1009
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

During ultrasound-guided percutaneous interventions, needle localization can be a challenge. To increase needle visibility, enhancements of both the imaging methods and the needle surface properties have been investigated. However, a methodical approach to compare potential solutions is currently unavailable. The work described here involves automated image acquisition, analysis and reporting techniques to collect large amounts of data efficiently, delineate relevant factors and communicate effects. Data processing included filtering, line fitting and image intensity analysis steps. Foreground and background image samples were used to compute a contrast-to-noise ratio or a signal ratio. The approach was evaluated in a comparative study of commercially available and custom-made needles. Varied parameters included needle material, diameter and surface roughness. The shafts with kerfed patterns and the trocar and chiba tips performed best. The approach enabled an intuitive polar depiction of needle visibility in ultrasound images for a large range of insertion angles.