2016 IEEE International Ultrasonics Symposium (IUS) 2016
DOI: 10.1109/ultsym.2016.7728860
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Clutter noise reduction in B-Mode image through mapping and clustering signal energy for better cyst classification

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Cited by 7 publications
(6 citation statements)
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“…This condition ensures that attenuation with depth does not affect the measurements. The CR and CNR equations are given as follows [11,1]…”
Section: Performance Evaluationmentioning
confidence: 99%
See 2 more Smart Citations
“…This condition ensures that attenuation with depth does not affect the measurements. The CR and CNR equations are given as follows [11,1]…”
Section: Performance Evaluationmentioning
confidence: 99%
“…The computation effective nature of delay-and-sum (DAS) beamforming makes it a popular option for medical ultrasound imaging. However, DAS fails to eliminate clutter noise [1][2][3]. This condition leads to a low contrast ratio (CR) and poor spatial resolution.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Ultrasound B-mode images are prone to clutter noise that often obscures anechoic regions such as cysts, carotid artery and blood vessels. Clutter noise sources are from reverberation, off-axis side lobes, phase abbreviations, edge waves and random acoustic noise [1]. Clutter noise can be reduced by using filtering, beamforming and post processing techniques such as contrast enhanced delay and sum (CEDAS), dual apodization with cross correlation (DAX), minimum variance (MV) and compound plane wave imaging (CPWI) [1]- [4].…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we have provided details steps for the method we use to process the raw RF data and present the results in graphical and numerical forms. More details works on CEDAS can be found in [2] II. METHODS The first step in identifying the location of a cyst and eliminating the clutter inside it starts with calculating the energy of the envelope signal for each of the image lines using the windowing technique [3].…”
Section: Introductionmentioning
confidence: 99%