2 mm Radius Loop Antenna and Linear Active Balun for Near Field Measurement of Magnetic Field in MRI-Conditional Testing of Medical Devices
Bibliographic record
Abstract
This paper presents the design and construction of a magnetic field probe with an active balun for conditional testing of medical devices within a magnetic resonance imaging (MRI). The magnetic field probe was designed using a small loop antenna with 2 mm radius to have high spatial resolution and accuracy. It was tuned and matched at a center frequency of 128 MHz, which corresponds to 3 T MRI systems or equivalent radio frequency (RF) exposure systems for MRI-conditional testing of medical devices. An active balun with a differential transistor topology and a passive low-profile transformer were employed to boost the detected magnetic field signal level lead to higher sensitivity. It also has high input impedance that improves the decoupling of the probe to nearby medical devices. The designed magnetic field probe and active balun have been fabricated on a double-sided printed circuit board, FR4 thickness of 1.57 mm and a copper thickness of 35 μm, with overall footprint of 22 mm × 11 mm. A verification test setup was developed to generate a known field and calibrate the probe based upon an analytic calculation of field, FDTD simulation and a 10-mm radius passive tuned/matched loop antenna.
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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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".