Signal processing pipeline output for the hard tissue mimicking phantom.

Signal processing pipeline output for the hard tissue mimicking phantom.

<p>(a) Raw data from a single Rx signal (b) SNR Improvement (c) Raw average signal (d) Median +Savitzky Golay +Wavelet filtered signal (e) Spike suppressed filtered signal (f) Transmitted signal.</p>

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Bibliographic Details
Main Author:	Jotham Josephat Kimondo (19139409) (author)
Other Authors:	Yi Hu (58993) (author), Junjie Xue (1265085) (author), Bangyi Luo (22614727) (author), Ziang Feng (22614730) (author), Jun Wu (4002) (author), Zhe Wu (582498) (author)
Published:	2025
Subjects:	Biophysics Medicine Physiology Biotechnology Space Science Biological Sciences not elsewhere classified Physical Sciences not elsewhere classified reliable calibration standard mechanical properties modulated immediate clinical relevance elastography calibration standard custom algorithm based captured shear waves calibrating clinical elastography bimorph transducers operating >&# 951 ;</ >&# 945 ;</ parameters across techniques nonoverlapping frequency ranges damping effects accounted constrained tof refit ex vivo validation div >< p >< sub >< kvfd forward model damping effects vivo performance viscous parameters viscoelastic parameters tunable alternative thaw cycling study designed strongly dependent spatial heterogeneity soft phantoms soft phantom primarily stem previous studies present study polyvinyl alcohol poisson ’ phantom standardization performed band percent differences mimicking phantoms mimicking materials methodological bias method assessment measurement band measure frequency key limitations inversion model future evaluation frequency sensitive fractional order findings support fair cross
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Description
Summary:	<p>(a) Raw data from a single Rx signal (b) SNR Improvement (c) Raw average signal (d) Median +Savitzky Golay +Wavelet filtered signal (e) Spike suppressed filtered signal (f) Transmitted signal.</p>

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