Data · dataset · 2026
Impact of apertures on the out-of-field secondary neutron dose in collimated proton pencil-beam scanning
Listed in TUDOdata
Objective: The advantage of apertures sharpening the edges of pencil beam scanning proton fields comes with the price of an increased out-of-field dose predominantly mediated by secondary neutrons.
Description
The objective of this study was to measure the increase in neutron ambient dose equivalent (H∗n(10) ) for monoenergetic square proton fields collimated by static brass apertures compared to non-collimated fields. The influence of the aperture material, i.e. brass and nickel, on the neutron production was investigated.
The experimental results were compared to a Monte Carlo (MC) simulation framework. Approach: Experiments were conducted in a treatment room of a clinical proton therapy center. The H∗n(10) was measured with three extended-range rem-meters at multiple out-of-field positions at 2 m/1.12 m distance from the isocenter for quasi-monochromatic square proton fields incident on a 30 × 30 × 30 cm3 solid water target.
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The measurement results were compared to the respective calculations with the TOPAS MC simulation framework. Main results: Collimating the edges of 10 × 10 cm2 fields with apertures increased the H∗n(10) on average by 23%. This increase was up to 74% in lateral direction to the initial beam and up to 6% in forward direction.
With a reduction of H∗n(10) down to 50% and 33% on average, nickel proved to be more favorable than brass. Placing a range-shifter upstream of the aperture is more favorable compared to the downstream placement since the H∗n(10) was on average 20% lower. Considering the associated uncertainties, the simulations and the experiments agreed well with an average deviation of 11.7% (1% to 34%).
Significance: Concluding, the increase of H∗n(10) caused by apertures for shaping scanned proton fields is small to moderate with 23% on average. The out-of-field neutron dose can be optimized by material selection and the arrangement of beam-shaping devices. TOPAS is suited for the application under consideration.
This repository refers to the corresponding publication in a scientific journal.
Links
Where it is published
- Dataverse dataset page data.tu-dortmund.de/dataset.xhtml?persistentId=doi%3A10.17877%2FTUDODATA-2026-MKFE… ↗
landing page · from data tu dortmund de
- DOI doi.org/10.17877/tudodata-2026-mkfegthr ↗
DOI / persistent id · from data tu dortmund de
Catalogue records · 1
- Dataverse API data.tu-dortmund.de/api/datasets/:persistentId/?persistentId=doi%3A10.17877%2FTUDO… ↗
metadata API · from data tu dortmund de
Topics
- Stated by source
- Medicine, Health and Life Sciences · Physics
- From keywords
- Chemistry · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Physics · Social Science
- Inferred from text
- Physical chemistry 70% · Simulation 75%
Provenance · 1 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| TUDOdata | doi:10.17877/TUDODATA-2026-MKFEGTHR | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3406 | enrichment · data tu dortmund de | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:physics | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:physics | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[method].local:method:simulation | enrichment · data tu dortmund de | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| description | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /description |
| publication_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| title | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /name |
| updated_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| version_label | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 |