Cross-correlation noise reduction method for ultrafast ultrasonic micro blood flow imaging

Abstract

The invention relates to the technical field of ultrasonic imaging, in particular to a cross-correlation noise reduction method for ultrafast ultrasonic micro blood flow imaging, and aims to solve the problems that in a traditional Doppler image, the signal-to-noise ratio is low, and clutter artifacts affect the image quality.According to the method, multi-angle plane wave radio frequency echo signals are divided into two or more subgroups; each subgroup is subjected to orthogonal demodulation, coherent recombination and clutter filtering by the same method and parameters to obtain two or more groups of dynamic blood flow signals, every two groups of signals are subjected to zero-delay cross-correlation, a plurality of obtained cross-correlation matrixes are averaged to obtain a blood flow power Doppler image, every two groups of signals are subjected to fixed-delay cross-correlation, and a plurality of obtained cross-correlation matrixes are averaged to obtain Doppler frequency offset under the time delay, so as to obtain a blood flow color Doppler image. According to the method, random noise and non-correlation clutter artifacts in the image can be effectively restrained through cross-correlation processing, and meanwhile highly-correlated dynamic blood flow signals are reserved.

Description

Technical field [0001] The present invention relates to the field of ultrasonic imaging, and more particularly to a mutual correlation noise reduction method for ultrafast ultrasonic micro-flow imaging. Background technique [0002] Microvascular detection and imaging techniques have a vital role in assessing physiological conditions and pathological diseases, such as cancer, chronic kidney disease and inflammatory diseases. Ultrasound imaging is a safe, low-cost and widely used method, which can be used to detect and evaluate blood flow in the body and have been applied in clinical practice for decades. In recent years, ultrasonic Doppler microvascular imaging techniques based on ultrasonic ultrasound imaging and advanced tissue clutter (such as feature filters, singular value decomposition) have been widely used in animals and humans. [0003] The existing bulletin is disclosed in China patent for CN111772676A discloses an ultra-fast ultrasonic Doppler spinal microsospent imagi...

AI Technical Summary

Problems solved by technology

[0004] However, due to the weak penetration ability of unfocused waves in deep tissues, an important disadvantage of ultrafast Doppler imaging of microvessels based on plane wave imaging is the insufficient signal-to-noise ratio, and the background noise has a great influence on the recognition and imaging of microvessels, especially is in the deep tissue

At the same time, another challenge of ultrafast ultrasonic micro-flow imaging technology is the incoherent clutter artifacts generated by strong reflections, slow motion, and uneven tissue scattering in the body. Traditional clutter filtering methods cannot effectively deal with them. eliminate

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