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Thick phosphor screens for on-line portal imaging
Medical Physics
|August 1, 1994
Summary
Gadolinium oxysulfide (Gd2O2S) phosphor screens show optimal light output up to 500 mg/cm2 thickness. Spatial resolution, measured by modulation transfer function (MTF), decreases with increasing phosphor thickness in megavoltage imaging.
Area of Science:
- Medical Physics
- Radiological Imaging
- Materials Science
Background:
- Megavoltage imaging systems require efficient phosphor screens for high-quality X-ray detection.
- Gadolinium oxysulfide (Gd2O2S) is a promising material for such applications due to its luminescent properties.
- Optimizing phosphor screen parameters is crucial for balancing light output and spatial resolution.
Purpose of the Study:
- To evaluate Gd2O2S phosphor screens of varying thicknesses (250-1000 mg/cm2) for megavoltage imaging.
- To investigate the impact of phosphor thickness and optical back reflectors on imaging performance.
- To determine optimal parameters for light output and spatial resolution in high-energy X-ray systems.
Main Methods:
- Gd2O2S phosphor screens were prepared on brass plates (1-5 mm thick) with and without optical back reflectors.
- Light output and spatial resolution (modulation transfer function - MTF) were measured at 6-MV and 23-MV X-ray energies.
- Empirical relationships were analyzed to describe the observed variations in MTF with phosphor thickness.
Main Results:
- Light output increased linearly with phosphor thickness up to 500 mg/cm2, plateauing at 1000 mg/cm2.
- Spatial resolution (MTF) decreased exponentially with increasing phosphor thickness, reaching a minimum at 750 mg/cm2.
- The relationship between MTF and phosphor thickness followed a predictable empirical pattern.
Conclusions:
- Gd2O2S phosphor screens offer a viable option for megavoltage imaging, with performance dependent on thickness.
- A phosphor thickness of approximately 500 mg/cm2 appears optimal for balancing light output and spatial resolution.
- The established empirical relation aids in predicting and optimizing MTF for specific megavoltage imaging applications.