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Reference based simulation study of detector comparison for BNCT-SPECT imaging
- Source :
- Nuclear Engineering and Technology, Vol 52, Iss 1, Pp 155-163 (2020)
- Publication Year :
- 2020
- Publisher :
- Elsevier, 2020.
-
Abstract
- To investigate the optimal detector material for prompt gamma imaging during boron neutron capture therapy, in this study, we evaluated the characteristic regarding radiation reaction of available detector materials using a Monte Carlo simulation. Sixteen detector materials used for radiation detection were investigated to assess their advantages and drawbacks. The estimations used previous experimental data to build the simulation codes. The energy resolution and detection efficiency of each material was investigated, and prompt gamma images during BNCT simulation were acquired using only the detectors that showed good performance in our preliminary data. From the simulation, we could evaluate the majority of detector materials in BNCT and also could acquire a prompt gamma image using the six high ranked-detector materials and lutetium yttrium oxyorthosilicate. We provide a strategy to select an optimal detector material for the prompt gamma imaging during BNCT with three conclusions. Keywords: Boron neutron capture therapy (BNCT), Prompt gamma, Detector materials, Monte Carlo simulation
- Subjects :
- medicine.diagnostic_test
Computer science
Physics::Instrumentation and Detectors
020209 energy
Nuclear engineering
Astrophysics::High Energy Astrophysical Phenomena
Monte Carlo method
Detector
Physics::Medical Physics
02 engineering and technology
Single-photon emission computed tomography
lcsh:TK9001-9401
Particle detector
030218 nuclear medicine & medical imaging
03 medical and health sciences
Neutron capture
0302 clinical medicine
Nuclear Energy and Engineering
Spect imaging
0202 electrical engineering, electronic engineering, information engineering
medicine
lcsh:Nuclear engineering. Atomic power
High Energy Physics::Experiment
Tomography
Emission computed tomography
Subjects
Details
- Language :
- English
- ISSN :
- 17385733
- Volume :
- 52
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Nuclear Engineering and Technology
- Accession number :
- edsair.doi.dedup.....d3fd0dce8449d0f6ef1a7e03209b7b83