On the influence of interpolation on probabilistic models for ultrasonic images

Gonzalo Vegas-Sánchez-Ferrero, D. Martín-Martínez, S. Aja‐Fernández, C. Palencia
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引用次数: 31

Abstract

The influence of the cartesian interpolation of ultrasound data over the final image statistical model is studied. When fully formed speckle is considered and no compression of the data is done, we show that the interpolated final image can be modeled following a Gamma distribution, which is a good approximation for the weighted sum of Rayleigh variables. The importance of taking into account the interpolation stage to statistically model ultrasound images is pointed out. The interpolation model here proposed can be easily extended to more complex distributions.
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插值对超声图像概率模型的影响
研究了超声数据笛卡儿插值对最终图像统计模型的影响。当考虑完全形成的散斑并且没有对数据进行压缩时,我们表明插值后的最终图像可以按照Gamma分布建模,这是对Rayleigh变量加权和的良好近似。指出了考虑插值阶段对超声图像统计建模的重要性。本文提出的插值模型可以很容易地扩展到更复杂的分布。
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