11C-5 Characterization of Time-Varying Mechanical Viscoelastic Parameters of Mimicking Deep Vein Thrombi with 2D Dynamic Elastography
Bibliographic record
Abstract
Staging mechanical properties of deep vein thrombi (elasticity and viscosity) can be of importance for therapy planning because the compactness of a blood clot impacts the efficiency of thrombolysis drugs. This article proposes the dynamic vascular elastography (DVE) method to solve this problem. It consists to retrieve viscoelastic parameters of 8-mm diameter blood clot cylindrical inclusions from shear wave propagation characteristics. The technique firstly implies the generation of a low frequency (50-190 Hz) harmonic plane shear wave in the medium and the tracking of this wave with an ultra- fast ultrasound scanner (frame rate > 3000 Hz). An inverse problem was formulated as a least-square minimization between simulations and experimental results of viscoelasticity. The wave excitation technique also permitted to do a multi-frequency analysis to validate the Voigt's model as a valid approach to represent the viscoelasticity of blood clots. DVE proved to have sufficient sensitivity to follow the time-varying blood coagulation process and to differentiate mechanical properties of blood samples with different hematocrits.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".