Analysis of Radiographic Contrast Markers for X-ray Digital Image Correlation of Tissue-Simulants Under Dynamic Load
Bibliographic record
Abstract
The study of traumatic brain injury is critical to the improvement of protective equipment. Numerical models of brain deformation require real-world data for validation. In preparation for upcoming cadaver studies, a novel method of measuring displacement and strain fields of optically inaccessible internal planes using high-speed X-ray, embedded contrast markers and digital image correlation (DIC) is presented herein. An uncoupled scintillator and optimally-selected highspeed camera enable continuous X-ray imaging through a human head at 10,000 fps. As varying composition creates radiographic contrast, contrast within a human brain is limited, therefore, artificial contrast markers are required. Markers must be dynamically coupled to the bulk material and provide sufficient X-ray contrast. An analytical tool was developed to design of contrast markers. The impact of contrast-to-noise ratio and out-of-plane motion on DIC accuracy were quantified. Finally, a feasibility study using a biofidelic headform subjected to a NOCSAE drop test is presented.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 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".