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Proceedings Paper

Characterization of tissue-simulating phantom materials for ultrasound-guided needle procedures
Author(s): Susan Buchanan; John Moore; Deanna Lammers; John Baxter; Terry Peters
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Paper Abstract

Needle biopsies are standard protocols that are commonly performed under ultrasound (US) guidance or computed tomography (CT)1. Vascular access such as central line insertions, and many spinal needle therapies also rely on US guidance. Phantoms for these procedures are crucial as both training tools for clinicians and research tools for developing new guidance systems. Realistic imaging properties and material longevity are critical qualities for needle guidance phantoms. However, current commercially available phantoms for use with US guidance have many limitations, the most detrimental of which include harsh needle tracks obfuscating US images and a membrane comparable to human skin that does not allow seepage of inner media. To overcome these difficulties, we tested a variety of readily available media and membranes to evaluate optimal materials to fit our current needs. It was concluded that liquid hand soap was the best medium, as it instantly left no needle tracks, had an acceptable depth of US penetration and portrayed realistic imaging conditions, while because of its low leakage, low cost, acceptable durability and transparency, the optimal membrane was 10 gauge vinyl.

Paper Details

Date Published: 17 February 2012
PDF: 8 pages
Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 83162B (17 February 2012); doi: 10.1117/12.911432
Show Author Affiliations
Susan Buchanan, Robarts Research Institute (Canada)
The Univ. of Western Ontario (Canada)
John Moore, Robarts Research Institute (Canada)
Deanna Lammers, Robarts Research Institute (Canada)
John Baxter, Robarts Research Institute (Canada)
Terry Peters, Robarts Research Institute (Canada)
The Univ. of Western Ontario (Canada)

Published in SPIE Proceedings Vol. 8316:
Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling
David R. Holmes; Kenneth H. Wong, Editor(s)

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