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We used GATE simulation to study the effect of the coincidence time window (CTW) along with the block gap and the intercrystal gap on the count rate performance and the spatial resolution of the Biograph™ mCT 20 Excel. We ran simulations on our local cluster to reduce computation time. The task was split into several jobs that were then triggered simultaneously on the cluster nodes. The BiographTM mCT 20 Excel was validated using the NEMA NU 2-2012 protocol. Our results showed good agreement with experimental data. The simulated sensitivity, peak true count rate, peak noise equivalent count rate (NECR), and scatter fraction showed agreement within 3.62%, 5.77%, 0.6%, and 2.69%, respectively. In addition, the spatial resolution agreed within <0.51 mm. The results showed that a decrease in the coincidence time window and the block gap and an increase in the intercrystal gap increase the count rate performance and improve the spatial resolution. The results also showed that decreasing the coincidence time window increased the NECR by 27.37%. Changing the intercrystal gap from 0 to 0.2 mm and the block gap and from 4 to 0.4 mm increased the NECR by 5.53% and improved the spatial resolution at 1 cm by 2.91 % and that at 10 cm by 3.85%. The coincidence time window, crystal gap, and block gap are important parameters with respect to improving the spatial resolution.
Słowa kluczowe
Rocznik
Tom
Strony
7--14
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
autor
- Faculty of Sciences, Mohammed V University, 4 Avenue Ibn Battouta B.P. 1014 RP, Rabat, Morocco
autor
- Faculty of Sciences, Mohammed V University, 4 Avenue Ibn Battouta B.P. 1014 RP, Rabat, Morocco
- Texas AM University at Qatar, Education City, Doha, Qatar
autor
- Faculty of Sciences, Mohammed V University, 4 Avenue Ibn Battouta B.P. 1014 RP, Rabat, Morocco
autor
- Abdelmalek Essaadi University, Tetouan, Morocco
- Faculty of Sciences, Mohammed V University, 4 Avenue Ibn Battouta B.P. 1014 RP, Rabat, Morocco
Bibliografia
- [1] Karakatsanis N, Sakellios N, Tsantilas NX, et al. Comparative evaluation of two commercial PET scanners, ECAT EXACT HR+ and Biograph 2, using GATE. Nucl Instrum Methods Phys Res A. 2006;569: 368-372.
- [2] Toufique Y, Kaci M, El Kharrim A, et al. Grid Applied to Monte-Carlo Simulations of Positron Emission Tomography Systems. In: IBERGRID 2012 - 6th Iberian Grid Infrastructure Conference proceedings. 2012;123-133.
- [3] Karakatsanis N, Loudos G, Rahmim A, Nikita KS. Monte-Carlo Based Characterization of the Counting Rate (NECR) Response for Personalized Optimization of the Administered Activity in Clinical PET Imaging. Frontiers Biomed Technol. 2014;1:14-34.
- [4] Townsend DW. Physical Principles and Technology of Clinical PET Imaging. Ann Acad Med Singapore. 2004;33(2):133-145.
- [5] Geramifar P, Ay MR, Shamsaie Zafarghandi M, et al. Performance Comparison of Four Commercial GE Discovery PET/CT Scanners: A Monte Carlo Study Using GATE. Iran J Nucl Med 2009;17(2):26-33.
- [6] Karakatsanis N, Parasyris A, Loudos G, Nikita K. A Simulation study of the counting rate performance of clinical PET systems applying a methodology for optimizing the injected dose. IEEE Nucl Sci Symp Conf Record. 2008;5014-5019.
- [7] Karakatsanis N, Nikita K. A simulation model of the counting rate response of clinical PET systems and its application to optimize the injected dose. IEEE Int Symposium on Biomedical Imaging: From Nano to Macro. 2009;398-401.
- [8] Karakatsanis N, Loudos G, Nikita KS. A methodology for optimizing the acquisition time of a clinical PET scan using GATE. IEEE Nucl Sci Symp Med Imag Conf. 2009;2896-1901.
- [9] MacDonald LR, Schmitz RE, Alessio AM, et al. Measured count-rate performance of the Discovery STE PET/CT scanner in 2D, 3D and partial collimation acquisition modes. Phys Med Biol. 2008;53(14):3723-3738.
- [10] Geramifar P, Ay MR, Shamsaie Zafarghandi M, et al. Investigation of Time- of-Flight Benefits in an LYSO-Based PET/CT Scanner: A Monte Carlo Study Using GATE. Nucl Instrum Methods Phys Res A. 2011; 641;121-127.
- [11] Nikolopoulos D, Kandarakis I, Tsantilas X, et al. Comparative Study of the Ra-diation Detection Efficiency of LSO, LuAP, GSO and YAP Scintillators for Use in Positron Emission Imaging (PET) via Monte-Carlo Methods. Nucl Instrum Methods Phys Res A. 2006;569:350-354.
- [12] Gonias P, Bertsekas N, Karakatsanis NA, et al. Validation of a GATE Model for the Simulation of the Siemens PET/CT Biograph 6 Scanner. Nucl Instrum Methods Phys Res A. 2007;571:263-266.
- [13] OpenGATE Collaboration: http://wiki.opengatecollaboration.org/index.php/Users_Guide_V7.1
- [14] NEMA standards publication, NU 2-2012: Performance measurements of positron emission tomographs. Technical Report, National Electrical Manufacturers Association, Washington, DC, 2012.
- [15] Rausch I, Cal-González J, Dapra D, et al. Performance evaluation of the Biograph mCT Flow PET/CT system according to the NEMA NU 2-2012 standard. EJNMMI Phys. 2015;2:1-17.
- [16] http://www.adaptivecomputing.com/products/open-source/torque/
- [17] De Beenhouwer J, Staelens S, Kruecker D, et al. Cluster computing software for GATE simulations. Med Phys. 2007;34(6):1926-33.
- [18] Thielemans K, Tsoumpas Ch, Sauge D, et al. STIR Software for Tomographic Image Reconstruction: User’s Guide, Version 3.0, 2015, http://stir.sourceforge.net/documentation/STIR-UsersGuide.pdf.
- [19] Loening A, Sau P. Amide a Medical Image Data Examiner: User's Manual V0.3.1, 2014, http://amide.sourceforge.net/help/C/index.html
- [20] Lashkari S, Sarkar S, Ay MR, Rahmim A. The Influence of crystal Material on Intercrystal Scattering and the Parallax Effectin PET block Detectors: A Monte Carlo Study. In: Abu Osman NA, Ibrahim F, Wan Abas WAB, et al. (eds) 4th Kuala Lumpur International Conference on Biomedical Engineering 2008. IFMBE Proceedings, vol 21. Springer, Berlin, Heidelberg. p. 633-636.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d58c7414-57bf-4d17-8e41-4b071b746a03