A CRLH zeroth-order resonant antenna (ZORA) with high near-field polarization purity used as an RF coil element for ultra high field MRI
Bibliographic record
Abstract
A CRLH zeroth-order resonant antenna (ZORA) with near-field performance optimized for 7 Tesla magnetic resonance imaging (MRI) is presented. Due to its zeroth-order resonance mode, occurring at the frequency where the phase constant is zero, the ZORA supports a highly uniform field, as required for MRI. Moreover, it exhibits a favorable longitudinal scalability for RF coil lengths ranging from 10 cm up to 50 cm and higher. Compared to previous implementations, the proposed ZORA uses SMD chip components placed at the back of the radiator to provide the CRLH shunt resonator elements instead of transverse stubs. As a result, the longitudinal magnetic field contributions are essentially suppressed and high transverse magnetic field purity, allowing high-resolution MRI, is achieved. As another consequence, the transverse size of the antenna is dramatically reduced, which is particularly beneficial for head or brain imaging, where undisturbed eye-contact with the patient is required in functional MRI. Furthermore the proposed ZORA features a low profile of only 2.3 mm, and could therefore be integrated behind the inner bore dielectric cover.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".