Medical ultrasound imaging method combining minimum variance beamforming and general coherence factor  

作　　者：WU Wentao PU Jie LU Yi 

机构地区：[1]Institute of Acoustics, Chinese Academy of Sciences Beijing 100190

出　　处：《Chinese Journal of Acoustics》2012年第2期133-143,共11页声学学报（英文版）

基　　金：supported by the Knowledge Innovation Engineering of Chinese Academy of Sciences (KGCX2-YW-915)

摘　　要：In medical ultrasound imaging field, in order to obtain high resolution and correct the phase errors induced by the velocity in-homogeneity of the tissue, a high-resolution medical ultrasound imaging method combining minimum variance beamforming and general coherence factor was presented. First, the data from the elements is delayed for focusing; then the multi-channel data is used for minimum variance beamforming; at the same time, the data is transformed from array space to beam space to calculate the general coherence factor; in the end, the general coherence factor is used to weight the results of minimum variance beamforming. The medical images are gotten by the imaging system. Experiments based on point object and anechoic cyst object are used to verify the proposed method. The results show the proposed method in the aspects of resolution, contrast and robustness is better than minimum variance beamforming and conventional beamforming.In medical ultrasound imaging field, in order to obtain high resolution and correct the phase errors induced by the velocity in-homogeneity of the tissue, a high-resolution medical ultrasound imaging method combining minimum variance beamforming and general coherence factor was presented. First, the data from the elements is delayed for focusing; then the multi-channel data is used for minimum variance beamforming; at the same time, the data is transformed from array space to beam space to calculate the general coherence factor; in the end, the general coherence factor is used to weight the results of minimum variance beamforming. The medical images are gotten by the imaging system. Experiments based on point object and anechoic cyst object are used to verify the proposed method. The results show the proposed method in the aspects of resolution, contrast and robustness is better than minimum variance beamforming and conventional beamforming.

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置] TN929.533[自动化与计算机技术—控制科学与工程]