SU‐E‐J‐55: Development of a Novel Cableless Radiolucent RF Coil for MR‐Guided Radiation Therapy (MRgRT™)
Bibliographic record
Abstract
PURPOSE: To demonstrate the feasibility of a novel radiotherapy-compatible cableless radiofrequency (RF) coil for an MR-guided radiation therapy(MRgRT™) system that employs a movable MRI system. This coil technology will expedite clinical workflow by eliminating need for coil connections and cables, allowing RF coils to remain in place for treatment. METHODS: We quantified radiation transmission factors and surface dose changes for aluminum (Al), copper (Cu) and FR4 substrate typical of RF coils using a Varian Trilogy linear accelerator. Ion chamber measurements were performed by applying 6 MV fields of various sizes through sheets of each material and metal-substrate combination. These measurements were repeated with the materials on a standard treatment couch. Material optimization provided input to build a prototype cableless coil and representative coil segment for surface dose measurements. RESULTS: We observed expected patterns for radiation field sizes between 1 cm × 1 cm and 25 cm × 25 cm and expected variation with off-axis distances < 12 cm. All metal-substrate combinations had transmission factors > 0.996, the lowest being Cu-FR4. Relative surface dose increases were similar for Cu-FR4 (3.9) and Al-FR4 (3.3) combinations. Couchtop relative surface dose increases were much greater than coil materials alone and did not increase substantially with the addition of coil materials (couch-only = 6.6, couch with Cu-FR4 = 7.3). Relative surface dose increase was 6.23 for prototype coil segment with capacitor, but the capacitors are not in the primary beam path for the coil design. CONCLUSIONS: Results indicate surface dose effectsare the dominant consideration in RF coil design for MRgRT. Similar Cu and Al surface dose effects suggest Cu is a viable coil inductor material for this application. Given that coil material contribution to surface dose is small compared to the couchtop material it is feasible to keep this cablelesscoil in place during radiation treatment. This work has received research personnel support from IMRIS.
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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) | 0.001 | 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".