Journal article
A general statistical model for ultrasonic backscattering from tissues
IEEE transactions on ultrasonics, ferroelectrics, and frequency control, v 47(3), pp 727-736
2000
PMID: 18238602
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The backscattered ultrasonic echo from tissue can be described in terms of Rayleigh distribution or K distribution. Even though both generalized K distribution and homodyned K distribution can account for some of the scattering conditions that exist in tissues, the analytical complexity involved with these distributions is significant. A much simpler generalized model based on the Nakagami distribution is proposed here. This model can describe the statistics of the envelope of the backscattered echo from an ensemble of scatterers with varying number densities, varying cross sections, and the presence or absence of regularly spaced scatterers. Computer simulations and experiments on tissue-mimicking phantoms have been undertaken to test the validity of the model. Results clearly show the versatility of the Nakagami distribution and its parameter to model the backscattered envelope from tissues. It is suggested that Nakagami distribution may be a good model for use in tissue characterization because of its simple analytical nature and ability to encompass different scattering conditions.
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Details
- Title
- A general statistical model for ultrasonic backscattering from tissues
- Creators
- P Mohana Shankar - Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA. shankar@ece.drexel.edu
- Publication Details
- IEEE transactions on ultrasonics, ferroelectrics, and frequency control, v 47(3), pp 727-736
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000086910100025
- Scopus ID
- 2-s2.0-0033718866
- Other Identifier
- 991019184022404721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Acoustics
- Engineering, Electrical & Electronic