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A Generalized Gamma Mixture Model for Ultrasonic Tissue Characterization
Joint Authors
Martin-Fernandez, Marcos
Aja-Fernandez, Santiago
Palencia, Cesar
Vegas-Sanchez-Ferrero, Gonzalo
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-04
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
Several statistical models have been proposed in the literature to describe the behavior of speckles.
Among them, the Nakagami distribution has proven to very accurately characterize the speckle behavior in tissues.
However, it fails when describing the heavier tails caused by the impulsive response of a speckle.
The Generalized Gamma (GG) distribution (which also generalizes the Nakagami distribution) was proposed to overcome these limitations.
Despite the advantages of the distribution in terms of goodness of fitting, its main drawback is the lack of a closed-form maximum likelihood (ML) estimates.
Thus, the calculation of its parameters becomes difficult and not attractive.
In this work, we propose (1) a simple but robust methodology to estimate the ML parameters of GG distributions and (2) a Generalized Gama Mixture Model (GGMM).
These mixture models are of great value in ultrasound imaging when the received signal is characterized by a different nature of tissues.
We show that a better speckle characterization is achieved when using GG and GGMM rather than other state-of-the-art distributions and mixture models.
Results showed the better performance of the GG distribution in characterizing the speckle of blood and myocardial tissue in ultrasonic images.
American Psychological Association (APA)
Vegas-Sanchez-Ferrero, Gonzalo& Aja-Fernandez, Santiago& Palencia, Cesar& Martin-Fernandez, Marcos. 2012. A Generalized Gamma Mixture Model for Ultrasonic Tissue Characterization. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-25.
https://search.emarefa.net/detail/BIM-475049
Modern Language Association (MLA)
Vegas-Sanchez-Ferrero, Gonzalo…[et al.]. A Generalized Gamma Mixture Model for Ultrasonic Tissue Characterization. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-25.
https://search.emarefa.net/detail/BIM-475049
American Medical Association (AMA)
Vegas-Sanchez-Ferrero, Gonzalo& Aja-Fernandez, Santiago& Palencia, Cesar& Martin-Fernandez, Marcos. A Generalized Gamma Mixture Model for Ultrasonic Tissue Characterization. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-25.
https://search.emarefa.net/detail/BIM-475049
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-475049