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KMID : 0357520230460060475
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Journal of Radiological Science and Technology
2023 Volume.46 No. 6 p.475 ~ p.484
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Comparative Evaluation of Filters for Speckle Noise Reduction in a Clinical Liver Ultrasound Image
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Kim Ha-Jin
Lee Young-Jin
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Abstract
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This study aimed to compare filters for reducing speckle noise in ultrasound images using clinical liver images. We acquired the clinical liver ultrasound images, and noisy images were obtained by adding 0.01, 0.05, 0.10, and 0.50 intensity levels of speckle noise to the liver images. The Wiener filter, median modified Wiener filter, gamma filter, and Lee filter were designed for the noisy images by setting window sizes at 3×3, 5×5, and 7×7. The coefficient of variation (COV) and contrast to noise ratio (CNR) were calculated to evaluate noise reduction and various filters. Moreover, the fil- ter with the highest image quality was selected and quantitatively compared to a noisy image. As a result, COV and CNR showed the noise improved result when the Lee filter was applied. Furthermore, the Lee filter image with a window size of 7×7 was noted to possess approximately a minimum of 1.28 to a maximum of 3.38 times better COV and a minimum of 2.18 to a maximum of 5.50 times better CNR than the noisy image. In conclusion, we confirmed that the Lee filter was effective in reducing speckle noise and proved that an appropriate window size needs to be set considering blurring.
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KEYWORD
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Liver Ultrasound Image, Liver Blood Vessel, Speckle Noise Reduction, Lee Filter, Window Size, Quantitative Evaluation
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