Simultaneous viscoelastic characterization of soft tissues based on shear wave ultrasound dispersion and multi-scale wavelet cross-correlation analysis
Why this work is in the frame
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Bibliographic record
Abstract
Ultrasound shear waves offer a non-destructive testing approach to assess the biomechanical properties of biological soft tissues. This paper presents a method based on the dispersion relations of ultrasound shear waves to inversely derive the viscoelastic properties of soft tissues. In the proposed method, dispersion relations are extracted from shear wave signals based on the multi-scale wavelet correlation analysis. Here, the continuous wavelet transform is employed to convert shear wave signals into various frequencies. The cross-correlation method is utilized to obtain the phase velocity of the shear waves. This approach offers advantages, including multiscale analysis capability, high-resolution time–frequency representation, flexible parameter selection, and continuous time–frequency scaling. Subsequently, an inversion process utilizing the simulated annealing algorithm is designed to characterize the properties of soft tissues. The effectiveness and accuracy of the proposed approach have been verified numerically and experimentally.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it