A fast beam orientation optimization method that enforces geometric constraints in IMRT for total marrow irradiation
Bibliographic record
Abstract
Abstract The beam orientation optimization (BOO) problem for intensity‐modulated radiation therapy (IMRT) is the selection of beams for radiation delivery. Conventionally, it is desirable for beams to be spatially separated to ensure a homogeneous dose. However, many BOO approaches yield clustered beams. This issue is especially prevalent for total marrow irradiation (TMI), where the target is very large and spread throughout the patient's body. Based on previous set‐cover formulations of the BOO problem for TMI‐IMRT, we propose an extension that enforces geometric beam constraints by iteratively removing beams violating geometric constraints within the set‐cover framework. After beams are selected, they are used as input to a fluence map optimization solver to obtain optimal fluence maps. Results for a clinical TMI case meet clinical guidelines for target coverage and differentiation of organ and target doses.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".