TH-AB-BRA-10: The Physics of Interface Effects for Radiation Treatments in a MRI-Linac: A Monte Carlo Study
Bibliographic record
Abstract
Purpose: To investigate and explain the interface effects for clinically relevant materials being irradiated in the presence of a 1.5 T transverse magnetic field. Methods: Interface effects were investigated using Geant4.10.1 both with (B-On) and without (B-Off) a magnetic field for an Elekta MRI-Linac. A slab of thickness 8 cm, representing inhomogeneity, was placed at a depth of 4 cm in a 20×20×20 cm water phantom. Backscattered electron fluence was calculated through a 20×20 cm plane aligned with the surface of the inhomogeneity. Inhomogeneities investigated were lung, bone, aluminum, titanium, stainless steel, and dental filling. A photon beam with field size of 2×2 cm at the isocenter and SAD of 143.5 cm was generated from a point source with energy distribution sampled from a histogram representing the true Elekta MRI-Linac photon spectrum. Results: In the B-On case, if the heterogeneity is a low Zeff material, such as lung, the backscattered electron fluence is increased considerably, i.e. by 54 %, and the corresponding dose is expected to be higher near the interface compared to the B-Off case. On the contrary, if the heterogeneity is a high Zeff material then the backscattered electron fluence is reduced in the B-On electron fluence is reduced in the B-On case. This reduction leads to a lower dose deposition at the interface compared to the B-Off case. Conclusion: The reduction in dose at the interface, in the B-On case, is directly related to the reduction in backscattered electron fluence. The reduction in backscattered electron fluence occurs due to two different reasons. First, the electron energy spectrum hitting the interface is changed for the B-On case which changes the electron scattering probability. Second, some electrons that are looping under the influence of the magnetic field are captured by the higher density side of the interface and no longer contribute to the backscattered electron stream. Funding support for this study was provided by ElektaTM.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".