Abstract
Purpose: The Monte Carlo (MC) simulation is widely used to design and test complex physical phenomena. This paper presents a simulator of x-ray detector for imaging applications by providing a simple component that can be embedded into a MC code and allowing developers to focus their attention on the primary goals without hanging in the quality of the final output image. Methods: A simplified semiempirical model of x-ray detector was developed and implemented starting from the definition of absorber material and developing scintillator and photoconductor screens and detectors. The validation was done by comparing a Hamamatsu C10900D digital flat panel with a simulation of the same detector using the presented model: MTF, nNPS, and NEQ. Results: The results of validation tests shown excellent agreement of the simulation with respect to the experimental data. The simulation was fast and efficient even in older computers (2004) and it was excellent in newer multicore computers (2010). Conclusions: Comparisons between experimental data and simulations shown that the simulator is able to mimic the output of a real imaging system, and it can have many applications in fields such as industry, medical physics, and teaching.
| Original language | English |
|---|---|
| Pages (from-to) | 7677-7685 |
| Number of pages | 9 |
| Journal | Medical Physics |
| Volume | 39 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - Dec 2012 |
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Keywords
- detector
- imaging
- Monte Carlo
- x-rays
ASJC Scopus subject areas
- Biophysics
- Radiology Nuclear Medicine and imaging
Cite this
Semiempirical simulation of x-ray detectors for imaging applications. / Bontempi, Marco; Bettuzzi, Matteo; Visani, Andrea.
In: Medical Physics, Vol. 39, No. 12, 12.2012, p. 7677-7685.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Semiempirical simulation of x-ray detectors for imaging applications
AU - Bontempi, Marco
AU - Bettuzzi, Matteo
AU - Visani, Andrea
PY - 2012/12
Y1 - 2012/12
N2 - Purpose: The Monte Carlo (MC) simulation is widely used to design and test complex physical phenomena. This paper presents a simulator of x-ray detector for imaging applications by providing a simple component that can be embedded into a MC code and allowing developers to focus their attention on the primary goals without hanging in the quality of the final output image. Methods: A simplified semiempirical model of x-ray detector was developed and implemented starting from the definition of absorber material and developing scintillator and photoconductor screens and detectors. The validation was done by comparing a Hamamatsu C10900D digital flat panel with a simulation of the same detector using the presented model: MTF, nNPS, and NEQ. Results: The results of validation tests shown excellent agreement of the simulation with respect to the experimental data. The simulation was fast and efficient even in older computers (2004) and it was excellent in newer multicore computers (2010). Conclusions: Comparisons between experimental data and simulations shown that the simulator is able to mimic the output of a real imaging system, and it can have many applications in fields such as industry, medical physics, and teaching.
AB - Purpose: The Monte Carlo (MC) simulation is widely used to design and test complex physical phenomena. This paper presents a simulator of x-ray detector for imaging applications by providing a simple component that can be embedded into a MC code and allowing developers to focus their attention on the primary goals without hanging in the quality of the final output image. Methods: A simplified semiempirical model of x-ray detector was developed and implemented starting from the definition of absorber material and developing scintillator and photoconductor screens and detectors. The validation was done by comparing a Hamamatsu C10900D digital flat panel with a simulation of the same detector using the presented model: MTF, nNPS, and NEQ. Results: The results of validation tests shown excellent agreement of the simulation with respect to the experimental data. The simulation was fast and efficient even in older computers (2004) and it was excellent in newer multicore computers (2010). Conclusions: Comparisons between experimental data and simulations shown that the simulator is able to mimic the output of a real imaging system, and it can have many applications in fields such as industry, medical physics, and teaching.
KW - detector
KW - imaging
KW - Monte Carlo
KW - x-rays
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U2 - 10.1118/1.4767768
DO - 10.1118/1.4767768
M3 - Article
VL - 39
SP - 7677
EP - 7685
JO - Medical Physics
JF - Medical Physics
SN - 0094-2405
IS - 12
ER -