Statistical modeling of the radio-frequency signal for partially- and fully-developed speckle based on a generalized gaussian model with application to echocardiography

We have shown previously that the statistics of the radio-frequency (RF) signals may be faithfully modeled through the so-called K(RF) distribution, in situations ranging from fully to partially-developed speckle. We demonstrate in this paper that the generalized Gaussian provides a reliable and com...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 54(2007), 10 vom: 27. Okt., Seite 2189-94
1. Verfasser: Bernard, Olivier (VerfasserIn)
Weitere Verfasser: Touil, Basma, D'hooge, Jan, Friboulet, Denis
Format: Aufsatz
Sprache:English
Veröffentlicht: 2007
Zugriff auf das übergeordnete Werk:IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Schlagworte:Letter
LEADER 01000naa a22002652 4500
001 NLM17517508X
003 DE-627
005 20231223141457.0
007 tu
008 231223s2007 xx ||||| 00| ||eng c
028 5 2 |a pubmed24n0584.xml 
035 |a (DE-627)NLM17517508X 
035 |a (NLM)18019258 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Bernard, Olivier  |e verfasserin  |4 aut 
245 1 0 |a Statistical modeling of the radio-frequency signal for partially- and fully-developed speckle based on a generalized gaussian model with application to echocardiography 
264 1 |c 2007 
336 |a Text  |b txt  |2 rdacontent 
337 |a ohne Hilfsmittel zu benutzen  |b n  |2 rdamedia 
338 |a Band  |b nc  |2 rdacarrier 
500 |a Date Completed 13.12.2007 
500 |a Date Revised 17.09.2019 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a We have shown previously that the statistics of the radio-frequency (RF) signals may be faithfully modeled through the so-called K(RF) distribution, in situations ranging from fully to partially-developed speckle. We demonstrate in this paper that the generalized Gaussian provides a reliable and computationally convenient approximation of the K(RF). The performance of the parameters estimators for the two distributions is evaluated and compared in terms of their bias and variance through numerical simulations. This framework is applied to the modeling of echocardiographic data. The ability of the generalized Gaussian to model RF signals from cardiac tissues (myocardium) and blood regions is demonstrated on data acquired in vivo 
650 4 |a Letter 
700 1 |a Touil, Basma  |e verfasserin  |4 aut 
700 1 |a D'hooge, Jan  |e verfasserin  |4 aut 
700 1 |a Friboulet, Denis  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on ultrasonics, ferroelectrics, and frequency control  |d 1986  |g 54(2007), 10 vom: 27. Okt., Seite 2189-94  |w (DE-627)NLM098181017  |x 1525-8955  |7 nnns 
773 1 8 |g volume:54  |g year:2007  |g number:10  |g day:27  |g month:10  |g pages:2189-94 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_22 
912 |a GBV_ILN_24 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 54  |j 2007  |e 10  |b 27  |c 10  |h 2189-94