Methodology for MR diffusion tensor imaging of the cat spinal cord
Why this work is in the frame
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Bibliographic record
Abstract
Magnetic resonance diffusion tensor imaging (DTI) of the spinal cord is challenging because of the cord's thin structure and the presence of physiological and susceptibility artifacts. To circumvent these issues, we developed a methodology for imaging the thoraco-lumbar spinal cord of cats at 3T using single-shot spin-echo echo planar imaging (ss-SE-EPI). The proposed method could potentially be applied to humans since it was developed on a clinical scanner with a standard spine coil. Results provide (i) suggestions for optimal slice orientation and phase encoding direction; (ii) an assessment of the benefits of parallel imaging to reduce geometric distortions; (iii) feasibility of acquiring quality diffusion weighted data in 13 minutes at a resolution of 1.1 mm(3) and (iv) determination of axonal disruption, in two cats with complete spinal cord transection, using tractography.
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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 | 0.000 |
| 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