Evaluation of TlBr semiconductor detector in gamma camera imaging: Monte Carlo simulation study
Among the detector materials available at room temperature, thallium bromide (TlBr), which has a relatively high atomic number and density, is widely used for gamma camera imaging. This study aimed to verify the usefulness of TlBr through quantitative evaluation by modeling detectors of various comp...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Nuclear Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573322003539 |
| _version_ | 1811293091760439296 |
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| author | Youngjin Lee Chanrok Park |
| author_facet | Youngjin Lee Chanrok Park |
| author_sort | Youngjin Lee |
| collection | DOAJ |
| description | Among the detector materials available at room temperature, thallium bromide (TlBr), which has a relatively high atomic number and density, is widely used for gamma camera imaging. This study aimed to verify the usefulness of TlBr through quantitative evaluation by modeling detectors of various compound types using Monte Carlo simulations. The Geant4 application for tomographic emission was used for simulation, and detectors based on cadmium zinc telluride and cadmium telluride materials were selected as a comparison group. A pixel-matched parallel-hole collimator with proven excellent performance was modeled, and phantoms used for quality control in nuclear medicine were used. The signal-to-noise ratio (SNR), contrast to noise ratio (CNR), sensitivity, and full width at half maximum (FWHM) were used for quantitative analysis to evaluate the image quality. The SNR, CNR, sensitivity, and FWHM for the TlBr detector material were approximately 1.05, 1.04, 1.41, and 1.02 times, respectively, higher than those of the other detector materials. The SNR, CNR and sensitivity increased with increasing detector thickness, but the spatial resolution in terms of FWHM decreased. Thus, we demonstrated the feasibility and possibility of using the TlBr detector material in comparison with commercial detector materials. |
| first_indexed | 2024-04-13T04:55:23Z |
| format | Article |
| id | doaj.art-8a919e55b76e4d9c8eb87ac1681d460c |
| institution | Directory Open Access Journal |
| issn | 1738-5733 |
| language | English |
| last_indexed | 2024-04-13T04:55:23Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Nuclear Engineering and Technology |
| spelling | doaj.art-8a919e55b76e4d9c8eb87ac1681d460c2022-12-22T03:01:30ZengElsevierNuclear Engineering and Technology1738-57332022-12-01541246524659Evaluation of TlBr semiconductor detector in gamma camera imaging: Monte Carlo simulation studyYoungjin Lee0Chanrok Park1Department of Radiological Science, Gachon University, 191, Hambakmoero, Yeonsugu, Incheon, Republic of KoreaDepartment of Radiological Science, Eulji University, 553, Sanseongdaero, Sujeonggu, Seongnam, Gyeonggido, Republic of Korea; Corresponding author. Department of Radiological Science, Eulji University, Republic of Korea.Among the detector materials available at room temperature, thallium bromide (TlBr), which has a relatively high atomic number and density, is widely used for gamma camera imaging. This study aimed to verify the usefulness of TlBr through quantitative evaluation by modeling detectors of various compound types using Monte Carlo simulations. The Geant4 application for tomographic emission was used for simulation, and detectors based on cadmium zinc telluride and cadmium telluride materials were selected as a comparison group. A pixel-matched parallel-hole collimator with proven excellent performance was modeled, and phantoms used for quality control in nuclear medicine were used. The signal-to-noise ratio (SNR), contrast to noise ratio (CNR), sensitivity, and full width at half maximum (FWHM) were used for quantitative analysis to evaluate the image quality. The SNR, CNR, sensitivity, and FWHM for the TlBr detector material were approximately 1.05, 1.04, 1.41, and 1.02 times, respectively, higher than those of the other detector materials. The SNR, CNR and sensitivity increased with increasing detector thickness, but the spatial resolution in terms of FWHM decreased. Thus, we demonstrated the feasibility and possibility of using the TlBr detector material in comparison with commercial detector materials.http://www.sciencedirect.com/science/article/pii/S1738573322003539Nuclear medicineGamma camera imagingSemiconductor detectorThallium bromide (TlBr) materialGeant4 application for tomographic emission (GATE) simulationQuality control phantom |
| spellingShingle | Youngjin Lee Chanrok Park Evaluation of TlBr semiconductor detector in gamma camera imaging: Monte Carlo simulation study Nuclear Engineering and Technology Nuclear medicine Gamma camera imaging Semiconductor detector Thallium bromide (TlBr) material Geant4 application for tomographic emission (GATE) simulation Quality control phantom |
| title | Evaluation of TlBr semiconductor detector in gamma camera imaging: Monte Carlo simulation study |
| title_full | Evaluation of TlBr semiconductor detector in gamma camera imaging: Monte Carlo simulation study |
| title_fullStr | Evaluation of TlBr semiconductor detector in gamma camera imaging: Monte Carlo simulation study |
| title_full_unstemmed | Evaluation of TlBr semiconductor detector in gamma camera imaging: Monte Carlo simulation study |
| title_short | Evaluation of TlBr semiconductor detector in gamma camera imaging: Monte Carlo simulation study |
| title_sort | evaluation of tlbr semiconductor detector in gamma camera imaging monte carlo simulation study |
| topic | Nuclear medicine Gamma camera imaging Semiconductor detector Thallium bromide (TlBr) material Geant4 application for tomographic emission (GATE) simulation Quality control phantom |
| url | http://www.sciencedirect.com/science/article/pii/S1738573322003539 |
| work_keys_str_mv | AT youngjinlee evaluationoftlbrsemiconductordetectoringammacameraimagingmontecarlosimulationstudy AT chanrokpark evaluationoftlbrsemiconductordetectoringammacameraimagingmontecarlosimulationstudy |