SU‐E‐T‐371: Measurement of Transit Dose of An Ir‐192 HDR Brachytherapy Stepping Source Using a 2D‐Array of Ion Chambers
Bibliographic record
Abstract
Purpose: The MatriXX Evolution 2D ionization chamber array is one of the 2D ionization chamber arrays developed by IBA dosimetry (IBA Dosimetry, Germany) for megavoltage real‐time absolute 2D dosimetry, verification of intensity‐modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT). We have recently shown that this 2D ionization chamber array can be used for HDR brachytherapy Ir‐192 beam dose verification. The aim of this work is to investigate the use of the movie mode of the MatriXX Evolution for measurement of transit dose of the Ir‐192 source of a Nucletron Micro‐Selectron HDR brachytherapy unit. Methods: The MatriXX Evolution measurement can be performed in different measurement modes depending on the measurement situation. For megavoltage dynamic field measurement the 2D ionization chamber array is equipped with movie mode to perform measurements continuously. During this measurement each single shot is saved and can be viewed, played as a movie, or analyzed afterwards. The integration time for each sample or movie image can be varied by the user with the shortest sampling time being 20 ms. This dynamic mode measurement of the MatriXX Evolution was used to measure the entrance, exit and the inter‐dwell transit dose of the HDR source. Results: At a fixed point of measurement, the transit dose depends on the radioactive source strength and velocity along the trajectory. The transit dose measured with MatriXX Evolution move mode has been found to be consistent with that already presented by other dosimeters. Conclusions: The feasibility of using a 2D ionization chamber move mode in determining the transit dose of HDR stepping source is explored in the present work. Results of this investigation show that 2D ionization chamber move mode can be used to measure transit dose.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".