2014
DOI: 10.1016/j.irbm.2014.05.003
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Speckle characterization methods in ultrasound images – A review

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Cited by 29 publications
(20 citation statements)
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“…Conventionally, ultrasound speckle is considered as undesirable noise that impacts ultrasound image contrast negatively and a main focus of research has been on the removal of ultrasound speckle 31 . Currently, two ultrasound speckle analysis methods have been studied trying to use ultrasound speckle to resolve flow information, including the cross correlation-based ultrasound imaging velocimetry (UIV) 14,15 and the B-mode intensity-based speckle decorrelation method (SDC) 16,17 .…”
Section: Discussionmentioning
confidence: 99%
“…Conventionally, ultrasound speckle is considered as undesirable noise that impacts ultrasound image contrast negatively and a main focus of research has been on the removal of ultrasound speckle 31 . Currently, two ultrasound speckle analysis methods have been studied trying to use ultrasound speckle to resolve flow information, including the cross correlation-based ultrasound imaging velocimetry (UIV) 14,15 and the B-mode intensity-based speckle decorrelation method (SDC) 16,17 .…”
Section: Discussionmentioning
confidence: 99%
“…The BVF-based feature space used in our rigid registration step could enhance the edge of the tissue and suppress the speckle noise. It is expected that the statistics of the ultrasonography such as the Rayleigh or Nakagami distributions [31] will be incorporated in the algorithms to further improve the robustness of stitching to the noise and intensity variation.…”
Section: Discussionmentioning
confidence: 99%
“…Shankar [23] considered that the data follows a Nakagami distribution. But more generally, when a large amount of scatterers is locally distributed inside a small area, it has been demonstrated that the statistics of the envelop of the received signal follow a Rayleigh distribution [18,24]. For this reason, some authors proposed to adapt the FMM segmentation framework for the US data analysis by estimating a Rayleigh Mixture Model (RMM) [25,26].…”
Section: Introductionmentioning
confidence: 99%