2018
DOI: 10.1007/s13139-018-0530-0
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Capabilities of the Monte Carlo Simulation Codes for Modeling of a Small Animal SPECT Camera

Abstract: Comparison between simulation and experimental results showed that among these MC codes, GATE enabled to accurately model realistic SPECT system and electromagnetic physical processes, but it required more time and hardware facilities to run simulations. SIMIND was the most flexible and user-friendly code to simulate a SPECT camera, but it had limitations in defining the non-conventional imaging device. The most important characteristics like time and speed of simulation, preciseness of results, and user-frien… Show more

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Cited by 4 publications
(2 citation statements)
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“…While SPECT systems based on multi-pinhole collimators have shown high resolution at a good sensitivity in the clinical and preclinical applications [22][23][24][25][26][27][28][29][30][31][32][33], the imperfect detector usage is a challenging problem for circular projections of the holes over the detector surface [34]. To this end, the lofthole collimator, as a new version of pinhole, was utilized for breast SPECT imaging.…”
Section: Introductionmentioning
confidence: 99%
“…While SPECT systems based on multi-pinhole collimators have shown high resolution at a good sensitivity in the clinical and preclinical applications [22][23][24][25][26][27][28][29][30][31][32][33], the imperfect detector usage is a challenging problem for circular projections of the holes over the detector surface [34]. To this end, the lofthole collimator, as a new version of pinhole, was utilized for breast SPECT imaging.…”
Section: Introductionmentioning
confidence: 99%
“…A preliminary simulation study is essential to work prior to the development of a real MSCC. In many biomedical applications, the simulation becomes a useful tool to validate the systematic performances and to compare with the real experimental results [7][8][9]. Through the simulation study, we could investigate the physical factors affecting the system performance and optimize the geometrical parameters, such as the distance between detectors, the size of the detector, as well as the image reconstruction parameters.…”
Section: Introductionmentioning
confidence: 99%