Development of a MRI phantom to emulate the relaxation times of the neonatal brain at 3 Tesla
Bibliographic record
Abstract
Prematurity greatly increases the risk of neurological impairment in newborn infants. Magnetic resonance imaging (MRI) provides powerful techniques for non-invasively investigating the impact of premature birth on early brain development. Experimental testing of MRI techniques on human nenonates is not ethically appropriate. Our previous work has shown that techniques used for brain imaging in adults are not optimal for neonates. Therefore, there is a crucial need for phantoms that can mimic MRI properties of the neonatal brain. Polyvinyl alcohol cryogel (PVA-C) has been investigated as a MRI phantom material for the adult brain. Our previous work showed that MRI relaxation times (T1 and T2) of 6-15% PVA-C were lower than those reported for neonatal white matter at 2.30 Tesla. The objective of this study was to investigate the relationship between PVA-C relation times and temperature to determine if sufficiently long relaxation times could be obtained by increasing temperature.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".