Improved Techniques for Statistical Analysis of the Envelope of Backscattered Ultrasound Using the Homodyned K Distribution
Hruska, David P.
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https://hdl.handle.net/2142/11984
Description
Title
Improved Techniques for Statistical Analysis of the Envelope of Backscattered Ultrasound Using the Homodyned K Distribution
Author(s)
Hruska, David P.
Issue Date
2009-06-01T16:05:20Z
Director of Research (if dissertation) or Advisor (if thesis)
Oelze, Michael L.
Department of Study
Electrical and Computer Engineering
Discipline
Electrical and Computer Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Ultrasonic tissue characterization
ultrasound backscatter
envelope statistics
homodyned K distribution
Abstract
Biomedical ultrasound is a prominent imaging modality for diagnostics. Conventional ultrasonic imaging is qualitative in nature with spatial resolution up to hundreds of micrometers. Quantitative ultrasound techniques based on ultrasonic backscatter can provide estimates describing tissue microstructure. Improving quantitative ultrasound techniques will result in improved diagnostic capabilities of ultrasound.
Quantitative techniques were developed and assessed based on the envelope of backscattered ultrasound. The envelope of backscattered ultrasound can be modeled as the superposition of the scattered signals from individual scatterers in the medium being interrogated. As such, the envelope signal is statistical in nature. By applying a model to the amplitude distribution of the envelope, information about the sub-resolution material properties such as the scatterer number density and organizational structure can be obtained.
The homodyned K distribution was used to model the envelope of backscattered ultrasound. An efficient parameter estimation algorithm was developed and tested through simulations and experiments. Techniques to reduce estimate bias and variance were assessed. The diagnostic potential of tissue characterization based on envelope statistics was evaluated.
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