Title | ||
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Statistical Modeling Of The Radio-Frequency Signal In Echocardiographic Images Based On Generalized Gaussian Distribution |
Abstract | ||
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We study in this work the statistics of the radio frequency (RF) signal for both fully and partially developed speckle in echocardiographic images in the context of image segmentation and classification. From physical image formation model, we first derive the probability density function (pdf) of the RF signal using the K distribution framework. We then show that this pdf may be reliably approximated through a Generalized Gaussian distribution. The ability of the proposed distribution to model RF echographic signals from cardiac tissue and blood regions is demonstrated on data acquired in vivo. |
Year | DOI | Venue |
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2006 | 10.1109/ISBI.2006.1624875 | 2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3 |
Keywords | Field | DocType |
statistical analysis,rf signals,statistics,statistical distributions,probability density function,radio frequency,speckle,image segmentation,image classification,in vivo,gaussian distribution,statistical modeling,generalized gaussian distribution,statistical model,image formation | Computer vision,K-distribution,Pattern recognition,Speckle pattern,Computer science,Image segmentation,Image formation,Statistical model,Artificial intelligence,Contextual image classification,Probability density function,Generalized normal distribution | Conference |
ISSN | Citations | PageRank |
1945-7928 | 4 | 0.86 |
References | Authors | |
1 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Olivier Bernard | 1 | 690 | 63.59 |
Jan D'hooge | 2 | 284 | 32.31 |
Denis Friboulet | 3 | 403 | 32.65 |