摘要
本文从声传输特性出发，针对被非均匀结构浅层组织传输影响而“模糊”了的深层组织回波信号，根据非均匀介质声传输特性，利用分层卷积模型［１，２］和最小方差解卷积技术［３］，分层估计出非均匀结构声程软组织的传输特性，进而得到整个软组织深层散射源真实传输特性的估计，使深部组织回波信号的分辨率得到提高。实验结果表明，这种方法对于非均匀结构软组织中被“模糊”了的深层超声回波信号分辨率的提高有明显效果。
When a pulse echo ultrasonic signal passed through the inhomogenous medium, from a deep scattering object, its signal feature was blurred due to influence of transmission in inhomogenous medium, similar with transmission of deep backscattering signal from inhomogenous soft tissue in B scan images. A layered convolutional model and MVD(Minimum Variance Deconvolution) technique were used to estimate feature of sound transmission in inhomogenous structure of soft tissue of different layers in the journey of transmission, in order to obtain a true estimation of transmission feature from the deep scattering signal and to improve also the resolution of deep scattering signal. The results showed that this method was effective to improve resolution of deep object in inhomogenous soft tissue.
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
1999年第2期130-137,共8页
Chinese Journal of Biomedical Engineering
关键词
非均匀软组织
传输特性
解卷积
分辨率
Inhomogenous tissue
Transmission feature
Deconvolution
Resolution
