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Record W4413385329 · doi:10.1088/2057-1976/adfde6

Development of a radiochromic film dosimetry readout system

2025· article· en· W4413385329 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBiomedical Physics & Engineering Express · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsKingston Health Sciences CentreQueen's University
FundersCanadian Institutes of Health Research
KeywordsCollimated lightOpticsScannerStray lightDosimeterDosimetryDetectorMaterials scienceImage resolutionComputer scienceMedical physicsRadiationPhysicsNuclear medicineLaser

Abstract

fetched live from OpenAlex

Radiochromic film is widely recognized for its high spatial resolution and ease of use in radiation dosimetry, but accurate and artifact-free readout remains a challenge. In this work, we evaluate and compare three different radiochromic film imaging systems: a conventional flatbed scanner, a diffuse light field and camera setup, and a custom-built scanning point source and detector system. We investigate each system's optical characteristics, imaging performance, and clinical utility, with a particular focus on small field dosimetry, where conventional systems often fall short. Our results highlight significant limitations in the diffuse light field system due to stray light contamination which leads to dose underestimation in small irradiated fields. The point source system demonstrated excellent accuracy and robustness across all field sizes with no measurable stray light or polarization effects. This work demonstrates that a purpose-built point source scanning system offers a reliable alternative to commercial flatbed scanners.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.492
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.239
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it