Trabecular spacing estimation based on quadratic transformation algorithm  

作　　者：XU Yiwen HOU Li SHU Xiao WU Guangli LIU Chengcheng XU Kailiang TA De'an 

机构地区：[1]Department of Electronic Engineering,Fudan University

出　　处：《Chinese Journal of Acoustics》2015年第2期177-185,共9页声学学报（英文版）

基　　金：supported by NSFC(11174060,11304043,11327405);the Ph.D.Programs Foundation of the Ministry of Education of China(20130071110020);the Key Science and Technology Program of Shanghai(13441901900)

摘　　要：The quadratic transformation method is proposed to estimate the trabecular spac- ing （Tb.Sp）, an important index for osteoporosis diagnosis. The performance of this algorithm was investigated by scatter model, two-dimension finite difference time domain （2D-FDTD） simulation and in vitro experiments of bovine cancellous bone specimens. Comparing with the other four methods autoregressive cepstrum （AR）, adaptive filter- autoregressive cepstral （AFAR）, inverse filter-autoregressive eepstrum （InvAR）, and simplified inverse filter tracking （SIFT）, quadratic transformation is much more stable and accurate. The results demonstrated that quadratic transformation is a great algorithm for Tb.SD estimation.The quadratic transformation method is proposed to estimate the trabecular spac- ing （Tb.Sp）, an important index for osteoporosis diagnosis. The performance of this algorithm was investigated by scatter model, two-dimension finite difference time domain （2D-FDTD） simulation and in vitro experiments of bovine cancellous bone specimens. Comparing with the other four methods autoregressive cepstrum （AR）, adaptive filter- autoregressive cepstral （AFAR）, inverse filter-autoregressive eepstrum （InvAR）, and simplified inverse filter tracking （SIFT）, quadratic transformation is much more stable and accurate. The results demonstrated that quadratic transformation is a great algorithm for Tb.SD estimation.

关 键 词：FDTD SIFT Trabecular spacing estimation based on quadratic transformation algorithm 

分 类 号：TN713[电子电信—电路与系统] R580[医药卫生—内分泌]