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Optimisation of the imaging and dosimetric characteristics of an electronic portal imaging device employing plastic scintillating fibres using Monte Carlo simulations
- Source :
- Physics in Medicine and Biology. 59:6827-6840
- Publication Year :
- 2014
- Publisher :
- IOP Publishing, 2014.
-
Abstract
- A Monte Carlo model of a novel electronic portal imaging device (EPID) has been developed using Geant4 and its performance for imaging and dosimetry applications in radiotherapy has been characterised. The EPID geometry is based on a physical prototype under ongoing investigation and comprises an array of plastic scintillating fibres in place of the metal plate/phosphor screen in standard EPIDs. Geometrical and optical transport parameters were varied to investigate their impact on imaging and dosimetry performance. Detection efficiency was most sensitive to variations in fibre length, achieving a peak value of 36% at 50 mm using 400 keV x-rays for the lengths considered. Increases in efficiency for longer fibres were partially offset by reductions in sensitivity. Removing the extra-mural absorber surrounding individual fibres severely decreased the modulation transfer function (MTF), highlighting its importance in maximising spatial resolution. Field size response and relative dose profile simulations demonstrated a water-equivalent dose response and thus the prototype's suitability for dosimetry applications. Element-to-element mismatch between scintillating fibres and underlying photodiode pixels resulted in a reduced MTF for high spatial frequencies and quasi-periodic variations in dose profile response. This effect is eliminated when fibres are precisely matched to underlying pixels. Simulations strongly suggest that with further optimisation, this prototype EPID may be capable of simultaneous imaging and dosimetry in radiotherapy.
- Subjects :
- Materials science
Electrical Equipment and Supplies
Monte Carlo method
Dose profile
Radiation Dosage
law.invention
Optics
law
Optical transfer function
Humans
Dosimetry
Computer Simulation
X-Ray Intensifying Screens
Radiology, Nuclear Medicine and imaging
Radiometry
Image resolution
Radiological and Ultrasound Technology
Pixel
business.industry
Reproducibility of Results
Equipment Design
Models, Theoretical
Photodiode
Radiographic Image Enhancement
Scintillation Counting
Spatial frequency
business
Monte Carlo Method
Plastics
Subjects
Details
- ISSN :
- 13616560 and 00319155
- Volume :
- 59
- Database :
- OpenAIRE
- Journal :
- Physics in Medicine and Biology
- Accession number :
- edsair.doi.dedup.....b734e42590329fbdfa987ad70154d444
- Full Text :
- https://doi.org/10.1088/0031-9155/59/22/6827