Size-Adaptive Occipital 18-Channel Receive-Only RF Coil for 3T MRI
Bibliographic record
Abstract
The performance of a conformal occipital receive-only radio-frequency (RF) array is demonstrated at 3T. The ultimate aim of this larger coil is to improve whole-brain magnetic resonance imaging (MRI) regardless of a person's head size and shape. The occipital array contains 18-channels built on a 3D-printed 3-mm thick thermoplastic polyurethane (TPU) plate, which acts as a flexible substrate. To show the performance improvements of our design a comparative study was performed where three differently shaped phantoms were used when imaging by our occipital array then by a standard rigid 64-channel head product coil (posterior 40-channel section only). Signal-to-noise-ratio (SNR) and noise correlation performance were evaluated. Compared to the product coil, the flexible occipital array improved mean SNR by 2.8×. Noise correlation was comparable to the product coil. These results lead us to conclude that our design represents a viable approach to improve SNR for differently shaped heads and supports the feasibility of a larger 128-channel size-adaptable whole-head array currently in development.
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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".