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Wavelet transform for cross correlation processing in PW ultrasound

机译:小波变换在PW超声中的互相关处理

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摘要

Addresses applying the wavelet transform to cross correlation (CC) processing in pulsed-wave (PW) ultrasound for measurement of tissue motion and the velocity profile of blood flow. Cross correlation processing has certain advantages over the Doppler method in performance, but its performance is sensitive to window size and noise. The authors describe how CC processing can be done with the wavelet transform. They mention that the wavelet transform has a unique feature of varying time-frequency resolution. Cross correlation processing in the wavelet domain is more robust with respect to window size and less sensitive to noise.
机译:解决了将小波变换应用于脉冲波(PW)超声中的互相关(CC)处理以测量组织运动和血流速度分布的问题。互相关处理在性能上比多普勒方法具有某些优势,但是其性能对窗口大小和噪声敏感。作者描述了如何使用小波变换进行CC处理。他们提到小波变换具有改变时频分辨率的独特功能。小波域中的互相关处理相对于窗口大小更健壮,并且对噪声不那么敏感。

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