Characterizing tissue with acoustic parameters derived from ultrasound data

Peter J. Littrup; Nebojsa Duric; Richard Leach Jr.; Steve G. Azevedo; James V. Candy; Thomas Moore; David H. Chambers; Jeffrey E. Mast; Earle Holsapple

doi:10.1117/12.462172

11 April 2002 Characterizing tissue with acoustic parameters derived from ultrasound data

Peter J. Littrup, Nebojsa Duric, Richard Leach Jr., Steve G. Azevedo, James V. Candy, Thomas Moore, David H. Chambers, Jeffrey E. Mast, Earle Holsapple

Author Affiliations +

Proceedings Volume 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing; (2002) https://doi.org/10.1117/12.462172
Event: Medical Imaging 2002, 2002, San Diego, California, United States

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.

Citation Download Citation

Peter J. Littrup, Nebojsa Duric, Richard Leach Jr., Steve G. Azevedo, James V. Candy, Thomas Moore, David H. Chambers, Jeffrey E. Mast, and Earle Holsapple "Characterizing tissue with acoustic parameters derived from ultrasound data", Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); https://doi.org/10.1117/12.462172

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