SDI: New metric for quantification of speckle noise in ultrasound imaging

K. Joshi, R. Kamathe
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引用次数: 13

Abstract

In ultrasound images a special type of acoustic noise, technically known as speckle noise, is the major factor of image quality degradation. In order to improve the image quality by means of speckle suppression and thus to increase the diagnostic potential of medical ultrasound, it is important to quantify the speckle. This paper describes, quality metrics for speckle in coherent imaging and their limitations. It also describes a new metric-SDI, its uniqueness in quantifying the speckle and comparison of performance with existing metrics. Empirical verification of SDI with a set of Test Images proves its speckle quantification in ultrasound. A subjective criterion is also taken into account to support the results.
超声成像中散斑噪声量化的新度量
在超声图像中,一种特殊类型的噪声,技术上称为斑点噪声,是图像质量下降的主要因素。为了通过抑制散斑来改善图像质量,从而提高医学超声的诊断潜力,对散斑进行量化是很重要的。本文介绍了相干成像中散斑的质量度量及其局限性。它还描述了一个新的指标- sdi,它在量化散斑和与现有指标的性能比较方面的独特性。用一组测试图像对SDI进行了实证验证,证明了其在超声中的散斑量化。还考虑了一个主观标准来支持结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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