Abstract
The acoustic attenuation coefficient of soft tissue has been observed to increase as an approximately linear function of frequency. The amount of center frequency shift is related to the severity of some diseases. In diagnostic ultrasound experiments, the conventional periodogram approach cannot be applied directly to estimate small spectral changes due to its inherent performance limitations. We applied the Maximum Entropy Method (MEM) to estimate the spectrum of computer simulated echo signals with multiplicative random noise. It is observed that simple 2nd order MEM gives a weighted mean frequency value of spectral distribution. Using this, a more accurate center frequency estimation than the periodogram approach can be obtained. The MEM also can reduce data length and number of independent data segments, thereby reducing the size of the resolution cell as well as the number of experiments. In the case of a small object, this small resolution cell can avoid spectral smearing by the spectrum of adjacent tissue.
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© 1988 Plenum Press, New York
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Kim, S.I., Reid, J.M. (1988). Estimation of Acoustic Attenuation Coefficient by Using Maximum Entropy Method. In: Kessler, L.W. (eds) Acoustical Imaging. Acoustical Imaging, vol 16. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0725-9_28
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DOI: https://doi.org/10.1007/978-1-4613-0725-9_28
Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4613-0725-9
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