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Proceedings Paper

Characterizing tissue with acoustic parameters derived from ultrasound data
Author(s): Peter J. Littrup; Nebojsa Duric; Richard Leach; Steve G. Azevedo; James V. Candy; Thomas Moore; David H. Chambers; Jeffrey E. Mast; Earle Holsapple
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Paper Abstract

In contrast to standard reflection ultrasound (US), transmission US holds the promise of more thorough tissue characterization by generating quantitative acoustic parameters. We compare results from a conventional US scanner with data acquired using an experimental circular scanner operating at frequencies of 0.3 - 1.5 MHz. Data were obtained on phantoms and a normal, formalin-fixed, excised breast. Both reflection and transmission-based algorithms were used to generate images of reflectivity, sound speed and attenuation.. Images of the phantoms demonstrate the ability to detect sub-mm features and quantify acoustic properties such as sound speed and attenuation. The human breast specimen showed full field evaluation, improved penetration and tissue definition. Comparison with conventional US indicates the potential for better margin definition and acoustic characterization of masses, particularly in the complex scattering environments of human breast tissue. The use of morphology, in the context of reflectivity, sound speed and attenuation, for characterizing tissue, is discussed.

Paper Details

Date Published: 11 April 2002
PDF: 8 pages
Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); doi: 10.1117/12.462172
Show Author Affiliations
Peter J. Littrup, Karmanos Cancer Institute (United States)
Nebojsa Duric, Univ. of New Mexico (United States)
Richard Leach, Lawrence Livermore National Lab. (United States)
Steve G. Azevedo, Lawrence Livermore National Lab. (United States)
James V. Candy, Lawrence Livermore National Lab. (United States)
Thomas Moore, Lawrence Livermore National Lab. (United States)
David H. Chambers, Lawrence Livermore National Lab. (United States)
Jeffrey E. Mast, Lawrence Livermore National Lab. (United States)
Earle Holsapple, Karmanos Cancer Institute (United States)


Published in SPIE Proceedings Vol. 4687:
Medical Imaging 2002: Ultrasonic Imaging and Signal Processing
Michael F. Insana; William F. Walker, Editor(s)

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