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: Department of Electronic Engineering,Fudan University,
• 出 处: Chinese Journal of Acoustics
• 发表日期: 2015年02期
• 关键词: quadratic spacing autoregressive osteoporosis trabecular inverse scatter simplif

The quadratic transformation method is proposed to estimate the trabecular spacing(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 cepstrum(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.Sp estimation.

The quadratic transformation method is proposed to estimate the trabecular spacing (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 to the other four methods-autoregressive cepstrum (AR), adaptive filter-autoregressive cepstral (AFAR), inverse filter-autoregressive cepstrum (InvAR), and simplified conjugal filter tracking (SIFT) is much more stable and accurate. The results demonstrated that quadratic transformation is a great algorithm for Tb.Sp estimation.