噪声鲁棒超声图像二维盲反卷积

T. Taxt, J. Strand
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引用次数: 2

摘要

提出了一种医学b超图像二维盲同态反卷积的新方法。该方法基于噪声鲁棒二维相位展开和噪声鲁棒处理来获得复倒谱域的脉冲。在随后的反褶积中使用普通维纳滤波。与普通图像相比,生成的图像变得更加清晰,组织结构更加清晰。反卷积图像的分辨率增益在3到6的数量级,并且这些图像的信噪比翻了一番。该方法在多个图像序列上都能得到稳定的结果。它可以实时实现。
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Noise robust two-dimensional blind deconvolution of ultrasound images
This paper presents a new method for two-dimensional blind homomorphic deconvolution of medical B-scan ultrasound images. The method is based on noise robust two-dimensional phase unwrapping and a noise robust procedure to obtain the pulse in the complex cepstrum domain. Ordinary Wiener filtering is used in the subsequent deconvolution. The resulting images became much sharper, with better defined tissue structures compared to the ordinary images. The deconvolved images had a resolution gain in the order of 3 to 6, and the signal to noise ratio doubled for many of these images. The method gave stable results through several image sequences. It can be implemented in real time.
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