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Proceedings Article

Characterizing tissue with acoustic parameters derived from ultrasound data

[+] Author Affiliations
Peter J. Littrup, Earle Holsapple

Karmanos Cancer Institute (USA)

Nebojsa Duric

Univ. of New Mexico (USA)

Richard Leach, Jr., Steve G. Azevedo, James V. Candy, Thomas Moore, David H. Chambers, Jeffrey E. Mast

Lawrence Livermore National Lab. (USA)

Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, 354 (April 12, 2002); doi:10.1117/12.462172
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From Conference Volume 4687

  • Medical Imaging 2002: Ultrasonic Imaging and Signal Processing
  • Michael F. Insana; William F. Walker
  • San Diego, CA | February 23, 2002

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.

© (2002) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Peter J. Littrup ; Nebojsa Duric ; Richard Leach, Jr. ; Steve G. Azevedo ; James V. Candy, et al.
"Characterizing tissue with acoustic parameters derived from ultrasound data", Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, 354 (April 12, 2002); doi:10.1117/12.462172; http://dx.doi.org/10.1117/12.462172


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