Size-Adaptive 24-Channel Prefrontal Cortex RF Coil Array for 3T MRI
Bibliographic record
Abstract
Flexible, anatomically adapted RF coils can offer improved image quality and patient experience. A semi-flexible, patient size-adaptable 24-channel coil array was constructed to specifically cover the prefrontal cortex (PFC). Elements were constructed on 3-D printed TPU substrate, which allows for sufficient controlled flexibility to fit varied head shapes while preserving array stability. Our 24-channel frontal cortex array demonstrated higher signal-to-noise ratio (SNR) at cortical depths and lower average channel noise, when compared to a similar 24-channel product coil. The proposed array promises to improve PFC imaging, which may have significant impact on the study and treatment of diseases and disorders associated with the PFC. Finally, our results strongly suggest that the here-presented design approach with semi-flexible plates, if adopted for the entire head, can lead to significant improvements in the overall cortical imaging at 3 tesla (T) MRI fields.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 0.001 |
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".