资源类型：
期刊/会议
文章类型：
会议论文
机构：
[a]School of Electrical and Information Engineering, South China University of Technology, Guangzhou, 510640, China
[b]Sun Yat-Sen University Cancer Center, Guangzhou, 510080, China
中山大学肿瘤防治中心
关键词：
Elastography
Local Elastic Parameters
Wavelet Packet Decompsition
摘要：
A new elastography method based on ultrasound spectral analysis is proposed. The experimental data source is Ultrasound radio frequency (RF) signal. It is decomposed by three levels Discrete Wavelet Packet Transform, and each sub-band energy spectral sequence is achieved. Fourth-order polynomial is used to fit these sub-band energy spectral sequences based on the least square method. The local elastic parameters (LEPs) are acquired as features from the fitted polynomial coefficients. These parameters correlate to tissue stiff. At last the elastic parameters are coded by pseudo color and map stiff of tissue. To validate its effectiveness, it is applied on in vivo liver tissue. The experiment result shows that these elastic parameters between normal and cirrhosis are different. This new elastography method is effective to characterize liver stiffness. © 2016 IEEE.
第一作者：
Pan, H
第一作者机构：
[a]School of Electrical and Information Engineering, South China University of Technology, Guangzhou, 510640, China
推荐引用方式(GB/T 7714)：
Pan H,Lin C,Zhou J.A new elastography method for liver stiffness based on ultrasound spectral analysis[J].2017,doi:10.1109/CISP-BMEI.2016.7852944.
APA：
Pan, H,Lin, C&Zhou, J.(2017).A new elastography method for liver stiffness based on ultrasound spectral analysis.,,
MLA：
Pan, H,et al."A new elastography method for liver stiffness based on ultrasound spectral analysis". .(2017)
