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Proceedings Paper

Optimizing signal output: effects of viscoelasticity and difference frequency on vibroacoustic radiation of tissue-mimicking phantoms
Author(s): Nikan K. Namiri; Ashkan Maccabi; Neha Bajwa; Karam W. Badran; Zachary D. Taylor; Maie A. St. John; Warren S. Grundfest; George N. Saddik
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Paper Abstract

Vibroacoustography (VA) is an imaging technology that utilizes the acoustic response of tissues to a localized, low frequency radiation force to generate a spatially resolved, high contrast image. Previous studies have demonstrated the utility of VA for tissue identification and margin delineation in cancer tissues. However, the relationship between specimen viscoelasticity and vibroacoustic emission remains to be fully quantified. This work utilizes the effects of variable acoustic wave profiles on unique tissue-mimicking phantoms (TMPs) to maximize VA signal power according to tissue mechanical properties, particularly elasticity. A micro-indentation method was utilized to provide measurements of the elastic modulus for each biological replica. An inverse relationship was found between elastic modulus (E) and VA signal amplitude among homogeneous TMPs. Additionally, the difference frequency (Δf ) required to reach maximum VA signal correlated with specimen elastic modulus. Peak signal diminished with increasing Δf among the polyvinyl alcohol specimen, suggesting an inefficient vibroacoustic response by the specimen beyond a threshold of resonant Δf. Comparison of these measurements may provide additional information to improve tissue modeling, system characterization, as well as insights into the unique tissue composition of tumors in head and neck cancer patients.

Paper Details

Date Published: 12 February 2018
PDF: 6 pages
Proc. SPIE 10484, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI, 104840N (12 February 2018); doi: 10.1117/12.2291382
Show Author Affiliations
Nikan K. Namiri, Univ. of California, Los Angeles (United States)
Ashkan Maccabi, Univ. of California, Los Angeles (United States)
Neha Bajwa, Univ. of California, Los Angeles (United States)
Karam W. Badran, Univ. of California, Los Angeles (United States)
Zachary D. Taylor, Univ. of California, Los Angeles (United States)
Maie A. St. John, Univ. of California, Los Angeles (United States)
Warren S. Grundfest, Univ. of California, Los Angeles (United States)
George N. Saddik, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 10484:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI
Tuan Vo-Dinh; Anita Mahadevan-Jansen; Warren S. Grundfest, Editor(s)

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