Towards Brain MRI Adaptable to Head Size: Bowing RF Coil Phased Arrays
Bibliographic record
Abstract
Purpose: Bowing phased arrays allow for the idea of hybrid rigid-flexible RF coils, in which parts of a larger phased array are broken up into rigid sub-arrays, connected by flexible coil elements, permitting coils to expend or shrink to match different human head sizes. Methods: two arrays were constructed, a conventional rigid array used as a control and an array composed of flexible bowing elements. Bowing elements comprise of a flexible half and a rigid half. The arrays were then supported on translating boards connected so that a flexible gap between the boards corresponds to the bowing elements. The gap between the rigid coil elements was varied by discrete values to assess its performance under different bowing conditions. Results: signal-to-noise-ratio (SNR) and noise performance was compared between the two arrays. It is seen that a bowing array outperforms its rigid counterpart in terms of average SNR, max SNR, and signal coverage. We conclude that bowing array elements present a viable solution to the proposed hybrid rigid-flexible coil arrays.
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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 | 0.000 | 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 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".