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Comparing the performance of different ultrasonic images enhancement for speckle noise reduction in ultrasound images using techniques: a preference study

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dc.contributor.author Rana, Md. Shohel
dc.contributor.author Sarker, Kaushik
dc.contributor.author Bhuiyan, Touhid
dc.contributor.author Hassan, Md. Maruf
dc.date.accessioned 2018-09-11T05:00:30Z
dc.date.accessioned 2019-05-27T09:59:31Z
dc.date.available 2018-09-11T05:00:30Z
dc.date.available 2019-05-27T09:59:31Z
dc.date.issued 2017-06-19
dc.identifier.uri http://hdl.handle.net/20.500.11948/3127
dc.description.abstract Diagnostic ultrasound (US) is an important tool in today's sophisticated medical diagnostics. Nearly every medical discipline benefits itself from this relatively inexpensive method that provides a view of the inner organs of the human body without exposing the patient to any harmful radiations. Medical diagnostic images are usually corrupted by noise during their acquisition and most of the noise is speckle noise. To solve this problem, instead of using adaptive filters which are widely used, No-Local Means based filters have been used to de-noise the images. Ultrasound images of four organs such as Abdomen, Ortho, Liver, Kidney, Brest and Prostrate of a Human body have been used and applied comparative analysis study to find out the output. These images were taken from Siemens SONOLINE G60 S System and the output was compared by matrices like SNR, RMSE, PSNR IMGQ and SSIM. The significance and compared results were shown in a tabular format. Full Text Link: https://doi.org/10.1117/12.2280277 en_US
dc.language.iso en en_US
dc.publisher SPIE Digital Library en_US
dc.subject Ultrasound images en_US
dc.subject Speckle noise en_US
dc.subject Adaptive filter en_US
dc.subject Nonlocal means based speckle filter en_US
dc.title Comparing the performance of different ultrasonic images enhancement for speckle noise reduction in ultrasound images using techniques: a preference study en_US
dc.type Article en_US


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