AI Article Synopsis
- Ultrasonic backscatter techniques could be effective for identifying changes in cancellous bone linked to osteoporosis and other conditions.
- The study tested a backscatter difference technique on 22 human cancellous bone specimens using transducers with varying frequencies (2.25, 5, 7.5, and 10 MHz).
- The findings indicate that the backscatter difference spectrum (D(f)) is a consistent function of frequency and shows moderate to strong correlations with bone density, suggesting it may be a valuable tool for bone assessment.
Article Abstract
Ultrasonic backscatter techniques may offer a useful approach for detecting changes in cancellous bone caused by osteoporosis and other diseases. The goal of this study was to investigate the utility of a backscatter difference technique for ultrasonic bone assessment. Measurements were performed on 22 cube-shaped specimens of human cancellous bone using four broadband transducers with center frequencies 2.25, 5, 7.5, and 10 MHz. The backscatter difference spectrum D(f) was obtained by subtracting power spectra (in dB) from two different portions of the same backscatter signal. D(f) was found to be a monotonically increasing, quasi-linear function of frequency when averaged over multiple measurement sites on multiple specimens. The frequency slope of D(f) demonstrated weak to moderate correlations with specimen density (R = 0.21-0.80). The frequency averaged mean of D(f) demonstrated moderate to good correlations with density (R = 0.70-0.95). These results suggest that parameters based on the frequency averaged mean of the backscatter difference spectrum may be useful for bone assessment purposes.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3528753 | PMC |
| http://dx.doi.org/10.1121/1.4763992 | DOI Listing |
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