Correlation between ultrasonic power spectrum and bone density on the heel.
The purposes of this paper were to evaluate the correlation between ultrasonic power spectrum and bone density and to extract the effectiveness of parameters from power spectrum for evaluating bone density. A total of 50 persons 24-72years of age were recruited. All study participants underwent bone mineral density (BMD) measurements of the lumbar spine (vertebral levels L1-L4). The participants also underwent calcaneal measurements to determine ultrasonic power spectrum with central frequencies of 0.5MHz. Three parameters from normalized power spectrum, called principle frequency (PF), frequency band (FB), and amplitude for principle frequency (APF), were chosen and be evaluated the correlation with the lumbar spine BMD. The correlation coefficient of PF, FB and APF with BMD was r=-0.48 (p<0.001), r=0.48 (p<0.001), and r=-0.71 (p<0.001), respectively. The results showed that the correlation between APF and BMD was better than the correlation among PF, FB and BMD, and APF have a significant correlation with BMD. In conclusion, the correlations among the parameters of ultrasonic power spectrum and BMD are significant, and especially APF performs better than PF and FB in evaluating bone density of participants. These results suggest that ultrasonic power spectrum may contain substantial information not already contained in BUA and SOS. A multiple regression model including all three QUS variables was somewhat more predictive of BMD than a model including only BUA and SOS.
Institute and Intelligent of Machines, Chinese Academy of Science, Hefei, Anhui, PR China.
Yubing
Y
Xu
Institute and Intelligent of Machines, Chinese Academy of Science, Hefei, Anhui, PR China; Department of Automation, University of Science and Technology of China, Hefei, Anhui, PR China.
Yang
Y
Xu
Institute and Intelligent of Machines, Chinese Academy of Science, Hefei, Anhui, PR China; Department of Automation, University of Science and Technology of China, Hefei, Anhui, PR China.
Zenghui
Z
Ding
Institute and Intelligent of Machines, Chinese Academy of Science, Hefei, Anhui, PR China. Electronic address: edanyang@mail.ustc.edu.cn.
Yanyan
Y
Chen
School of Mathematics and Computing Science, Anqing Teachers College, PR China.
Benyue
B
Su
Institute and Intelligent of Machines, Chinese Academy of Science, Hefei, Anhui, PR China.
Zuchang
Z
Ma
Institute and Intelligent of Machines, Chinese Academy of Science, Hefei, Anhui, PR China.
Yi-Ning
YN
Sun
D015502:Absorptiometry, Photon; D000328:Adult; D000368:Aged; D000465:Algorithms; D015519:Bone Density; D005260:Female; D006365:Heel / Q000000981:diagnostic imaging*; D006801:Humans; D008159:Lumbar Vertebrae / Q000000981:diagnostic imaging*; D008297:Male; D008875:Middle Aged; D011884:Radius / Q000000981:diagnostic imaging*; D012815:Signal Processing, Computer-Assisted; D014463:Ultrasonography / Q000379:methods*
Bone density; Calcaneus; Quantitative ultrasound (QUS); Ultrasonic power spectrum