相干系数与幅度相位估计融合的医学超声成像算法

在医学超声成像中，最小方差(MV)自适应波束形成算法能有效的提高成像分辨率，但是却牺牲了成像对比度和算法稳健性。针对这个问题，提出了一种相干系数(CF)和幅度相位估计(APES)融合的自适应波束形成算法。该算法利用APES幅度估计准确，成像对比度和算法稳健性高的优点，同时结合相干系数加权抑制噪声和干扰，改善了成像分辨率。仿真实验结果表明：该算法在成像分辨率和对比度方面都要优于传统的延时叠加(DAS)法，最小方差法和原始的幅度相位估计法。

Amplitude and Phase Estimation Combined Coherence Factor Applied to Medical Ultrasound Imaging

In medical ultrasound imaging, the minimum variance (MV) adaptive beamforming method can improve the imaging resolution at expense of imaging contrast and robustness. In order to overcome this drawback, the amplitude and phase estimation (APES) adaptive beamforming method combined coherence factor (CF) was introduced. This method was based on the APES which had the merit including accurate amplitude estimation, improved imaging contrast and robustness; and then CF was used to weight the proposed method for reducing the level of noises and interferences and improving the imaging resolution. The simulated results showed that the proposed method in the aspects of imaging resolution and contrast was better than the conventional delay and sum (DAS), MV and original APES beamforming method.