Open Access
Issue
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
Article Number 00046
Number of page(s) 19
DOI https://doi.org/10.1051/e3sconf/202568000046
Published online 19 December 2025
  1. Agostinelli S, Allison J, Amako K al, Apostolakis J, Araujo H, Arce P, et al. Geant4—a simulation toolkit. Barrand, et al. Nucl Instruments Methods Phys Res Sect A Accel Spectrometers, Detect Assoc Equip 2003;506(3):250–303. [Google Scholar]
  2. Strulab D, Santin G, Lazaro D, Breton V, Ch Morel. Gate (geant4 application for tomographic emission): a pet/spect general-purpose simulation platform. Nucl Phys B-Proceedings Suppl 2003;125:75–79. [Google Scholar]
  3. MacDonald L, Edwards J, Lewellen T, Haseley D, Rogers J, Kinahan P. Clinical imaging characteristics of the positron emission mammography camera: Pem flex solo ii. J Nucl Med 2009;50:1666–75. [Google Scholar]
  4. CMR Naviscan Corporation n.d. https://cmr-naviscan.com/. [Google Scholar]
  5. Association NEM. Performance measurements of small animal positron emission tomographs NU4-2008. NEMA Stand Publ 2008:1–23. [Google Scholar]
  6. Budinger TF, Vanbrocklin HF, Generator-Produced P, Radiopharmaceuticals R, Radionuclides. P. Positron-Emission Tomography (PET). The biomedical engineering handbook. 2003. [Google Scholar]
  7. Michael E Phelps. Pet: a biological imaging technique. Neurochem Res 1991;16:929–40. [Google Scholar]
  8. Massoud TF, Sanjiv S Gambhir. Molecular imaging in living subjects: seeing fundamental biological processes in a new light. Genes Dev 2003;17:545–80. [Google Scholar]
  9. Lecoq P. Scintillation detectors for charged particles and photons. Part Phys Ref Libr Vol 2 Detect Part Radiat 2020;2:45–89. [Google Scholar]
  10. Kinahan PE, Hasegawa BH, Beyer T. X-ray-based attenuation cor rection for positron emission tomography/computed tomography scanners. Semin Nucl Med 2003;33:166–79. [Google Scholar]
  11. Saaidi R, Villafuerte-Villafuerte MR, Sánchez Héctor A, Martínez-Dávalos A. Crystal scatter effects in a large-area dual-panel positron emission mammography system. PLoS One 2024;19. [Google Scholar]
  12. Havsteen I, Ohlhues A, Madsen KH, Nybing JD, Christensen H, Christensen A. Are movement artifacts in magnetic resonance imaging a real problem?—a narrative review. Front Neurol 2017;8:232. [Google Scholar]
  13. Saaidi R, Yassine Toufique, Abdelkrim Zeghari, Moursli RC El. Gate simulation study of the siemens biograph mct 20 excel pet/ct system. Polish J Med Phys Eng 2019;25:7–14. [Google Scholar]
  14. Moliner L, A. J. González, Soriano A, F. Sánchez, C. Correcher, A. Orero, et al. Design and evaluation of the mammi dedicated breast pet. Med Phys 2012;39:5393–404. [Google Scholar]
  15. Luo W, Anashkin E, Matthews CG. Performance evaluation of a pem scanner using the nema nu 4—2008 small animal pet standards. IEEE Trans Nucl Sci 2010;57:94–103. [Google Scholar]
  16. Reynés-Llompart G, Sabaté-Llobera A, Llinares-tello E, Martí-Climent JM, Cristina Gámez-Cenzano. Image quality evaluation in a modern pet system: impact of new reconstructions methods and a radiomics approach. Sci Rep 2019;9:10640. [Google Scholar]
  17. HPC-MARWAN n.d. https://hpc.marwan.ma/. [Google Scholar]
  18. Saaidi R, Zeghari A, Moursli RC El. Monte carlo simulation of two siemens biograph pet/ct system using gate: Image quality performance. Radiat Phys Chem 2024;218:111653. [Google Scholar]
  19. Juan José Vaquero, Kinahan P. Positron emission tomography: current challenges and opportunities for technological advances in clinical and preclinical imaging systems. Annu Rev Biomed Eng 2015;17:385–414. [Google Scholar]
  20. Usman S, Patil A. Radiation detector deadtime and pile up: A review of the status of science. Nucl Eng Technol 2018;50:1006–16. [Google Scholar]
  21. Thibaut Merlin, Stute S, Benoit D, Bert J, Thomas Carlier, Comtat C, et al. Castor: a generic data organization and processing code framework for multi-modal and multi-dimensional tomographic reconstruction. Phys Med Biol 2018;63:185005. [Google Scholar]
  22. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods 2012;9:676–82. [CrossRef] [PubMed] [Google Scholar]
  23. Torres-Urzúa LF, Alva-Sánchez H, Martínez-Dávalos A, García-Pérez FO, Peruyero-Rivas RM, Mercedes Rodríguez-Villafuerte. A dedicated phantom design for positron emission mammography performance evaluation. Phys Med Biol 2020;65:245003. [Google Scholar]
  24. Ko GB, Kim KY, Yoon HS, Lee MS, Son J-W, Im H-J, et al. Evaluation of a silicon photomultiplier pet insert for simultaneous pet and mr imaging. Med Phys 2016;43:72–83. [Google Scholar]
  25. Omidvari N, Cabello J, Topping G, Schneider FR, Paul S, Schwaiger M, et al. PET performance evaluation of MADPET4: a small animal PET insert for a 7 T MRI scanner. Phys Med Biol 2017;62:8671. [Google Scholar]
  26. Saaidi R, Tayalati Y, Fatimy A El. Optimizing positron emission tomography for accurate plant imaging using monte carlo simulations to correct positron range effects. Sci Rep 2025;15:13847. [Google Scholar]

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