ArticlePhysics in medicine and biology2017
Modelling the transport of optical photons in scintillation detectors for diagnostic and radiotherapy imaging.
Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Pixelated Scintillator Arrays with Si-SiOSmall methods · 2026Article
- Uncertainty-aware gamma interaction localization and reconstruction in PET.Medical physics · 2026Article
- optiGAN: a deep learning-based alternative to optical photon tracking in Python-based GATE (10+).Physics in medicine and biology · 2025Article
- Towards large nuclear imaging system optical simulations with optiGAN, a generative adversarial network.Physics in medicine and biology · 2025Article
- An applied noise model for scintillation-based CCD detectors in transmission electron microscopy.Scientific reports · 2025Article
- Radiation Detectors and Sensors in Medical Imaging.Sensors (Basel, Switzerland) · 2024Review
- PET detectors with depth-of-interaction and time-of-flight capabilities.Radiological physics and technology · 2024Review
- Optimization of scintillator-reflector optical interfaces for the LUT Davis model.Medical physics · 2021Article
- MTF of columnar phosphors with a homogenous part: an analytical approach.Medical & biological engineering & computing · 2020Article
- gPET: a GPU-based, accurate and efficient Monte Carlo simulation tool for PET.Physics in medicine and biology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Computational modelling of radiation transport can enhance the understanding of the relative importance of individual processes involved in imaging systems. Modelling is a powerful tool for improving detector designs in ways that are impractical or impossible to achieve through experimental measurements. Modelling of light transport in scintillation detectors used in radiology and radiotherapy imaging that rely on the detection of visible light plays an increasingly important role in detector design. Historically, researchers have invested heavily in modelling the transport of ionizing radiation while light transport is often ignored or coarsely modelled. Due to the complexity of existing light transport simulation tools and the breadth of custom codes developed by users, light transport studies are seldom fully exploited and have not reached their full potential. This topical review aims at providing an overview of the methods employed in freely available and other described optical Monte Carlo packages and analytical models and discussing their respective advantages and limitations. In particular, applications of optical transport modelling in nuclear medicine, diagnostic and radiotherapy imaging are described. A discussion on the evolution of these modelling tools into future developments and applications is presented.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.