2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2010
DOI: 10.1109/isbi.2010.5490355
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Abstract: The information encoded in ultrasound speckle is often discarded but it is widely recognized that this phenomenon is dependent of the intrinsic acoustic properties of tissues. In this paper we propose a robust method to estimate the despeckled and speckle components from the ultrasound data with the purpose of tissue characterization. A de-speckling method, which can conveniently work with either Radio Frequency (RF) or B-mode data, contributes to an improvement on the visualization of anatomical details, whil… Show more

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Cited by 15 publications
(14 citation statements)
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“…To guaranty the reproducibility of the results, the procedure described in [13] is used to separate the textural and intensity information of the US images where the radio frequency (RF) envelope, rf (i, j), is estimated from the observed B-mode image, y(i, j). The estimation of this envelope image is performed based on physical considerations about the data generation process, namely, by taking into account the US scanner parameters tuned by the clinician during the US exam.…”
Section: A Preprocessing and Feature Selectionmentioning
confidence: 99%
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“…To guaranty the reproducibility of the results, the procedure described in [13] is used to separate the textural and intensity information of the US images where the radio frequency (RF) envelope, rf (i, j), is estimated from the observed B-mode image, y(i, j). The estimation of this envelope image is performed based on physical considerations about the data generation process, namely, by taking into account the US scanner parameters tuned by the clinician during the US exam.…”
Section: A Preprocessing and Feature Selectionmentioning
confidence: 99%
“…The estimated RF image is decomposed in despeckled and speckle fields according to the following model [13]:…”
Section: A Preprocessing and Feature Selectionmentioning
confidence: 99%
See 1 more Smart Citation
“…The procedure described in [26] to separate the textural and intensity information within US images is here adopted. In this, an estimation of the radio frequency (RF) raw data is firstly done based on physical considerations about the data generation process, namely, by taking into account the US scanner parameters tuned by the clinician during the US exam.…”
Section: Us Image Pre-processingmentioning
confidence: 99%
“…In a second step the estimated envelope RF image, y(i, j), is decomposed into two fields; i) the de-speckled field, x(i, j), mainly containing the noiseless anatomical information and ii) the speckle field, η(i, j), containing the textural information [5]. In this type of images, involving coherent radiation, the speckle (pseudo)-noise corrupting the image is assumed to be multiplicative in the sense that its variance depends on the underlying noiseless image [6].…”
Section: A Pre-processing Algorithmmentioning
confidence: 99%