As an important means of medical imaging, elastic imaging is an indispensable part of mobile telemedicine. Ultrasound elastography has become a research hotspot because it can accurately measure soft tissue lesions. Displacement estimation is the most important step in ultrasound elastography. At present, the phase zero search method is an accurate and fast displacement estimation method. However, when the displacement exceeds 1/4 wavelength, it is invalid. The accuracy of block matching method is not high, but it is suitable for large displacement, so it can overcome this shortcoming. It is worth noting that the quality-guided block matching method has good robustness under complex mutation conditions. It can provide prior knowledge to increase the robustness of the phase-zero search under large displacement conditions. So we propose a novel displacement estimation method for real time tissue ultrasound elastography, which combines the quality-guided block matching method and the phase-zero search method. The experimental results show that this method is more accurate, faster and robust than other displacement estimation methods.

作为医学成像的重要手段，弹性成像是移动远程医疗必不可少的部分。超声弹性成像技术已经成为研究的热点，因为它可以准确地测量软组织的病变。位移估计是超声弹性成像中最重要的步骤。目前，零相搜索法是一种准确，快速的位移估计方法。但是，当位移超过1/4波长时，则无效。块匹配方法的精度不高，但适用于大位移，因此可以克服这一缺点。值得注意的是，在复杂突变条件下，质量指导的块匹配方法具有很好的鲁棒性。它可以提供先验知识，以提高大位移条件下零相搜索的鲁棒性。因此，我们提出了一种新颖的实时组织超声弹性成像位移估计方法，该方法结合了质量指导的块匹配方法和零相搜索方法。实验结果表明，该方法比其他位移估计方法更准确，更快速，更可靠。