Comparative studies of the sensitivities of sparse and full geometries of Total-Body PET scanners built from crystals and plastic scintillators

M Dadgar, S Parzych, J Baran, N Chug, C Curceanu, E Czerwiński, K Dulski, K Elyan, A Gajos, B C Hiesmayr, Ł Kapłon, K Klimaszewski, P Konieczka, G Korcyl, T Kozik, W Krzemien, D Kumar, S Niedzwiecki, D Panek, E Perez Del Rio, L Raczyński, S Sharma, S Shivani, R Y Shopa, M Skurzok, E Ł Stepień, F Tayefi Ardebili, K Tayefi Ardebili, S Vandenberghe, W Wiślicki, P Moskal, M Dadgar, S Parzych, J Baran, N Chug, C Curceanu, E Czerwiński, K Dulski, K Elyan, A Gajos, B C Hiesmayr, Ł Kapłon, K Klimaszewski, P Konieczka, G Korcyl, T Kozik, W Krzemien, D Kumar, S Niedzwiecki, D Panek, E Perez Del Rio, L Raczyński, S Sharma, S Shivani, R Y Shopa, M Skurzok, E Ł Stepień, F Tayefi Ardebili, K Tayefi Ardebili, S Vandenberghe, W Wiślicki, P Moskal

Abstract

Background: Alongside the benefits of Total-Body imaging modalities, such as higher sensitivity, single-bed position, low dose imaging, etc., their final construction cost prevents worldwide utilization. The main aim of this study is to present a simulation-based comparison of the sensitivities of existing and currently developed tomographs to introduce a cost-efficient solution for constructing a Total-Body PET scanner based on plastic scintillators.

Methods: For the case of this study, eight tomographs based on the uEXPLORER configuration with different scintillator materials (BGO, LYSO), axial field-of-view (97.4 cm and 194.8 cm), and detector configurations (full and sparse) were simulated. In addition, 8 J-PET scanners with different configurations, such as various axial field-of-view (200 cm and 250 cm), different cross sections of plastic scintillator, and multiple numbers of plastic scintillator layers (2, 3, and 4), based on J-PET technology have been simulated by GATE software. Furthermore, Siemens' Biograph Vision has been simulated to compare the results with standard PET scans. Two types of simulations have been performed. The first one with a centrally located source with a diameter of 1 mm and a length of 250 cm, and the second one with the same source inside a water-filled cylindrical phantom with a diameter of 20 cm and a length of 183 cm.

Results: With regards to sensitivity, among all the proposed scanners, the ones constructed with BGO crystals give the best performance ([Formula: see text] 350 cps/kBq at the center). The utilization of sparse geometry or LYSO crystals significantly lowers the achievable sensitivity of such systems. The J-PET design gives a similar sensitivity to the sparse LYSO crystal-based detectors while having full detector coverage over the body. Moreover, it provides uniform sensitivity over the body with additional gain on its sides and provides the possibility for high-quality brain imaging.

Conclusion: Taking into account not only the sensitivity but also the price of Total-Body PET tomographs, which till now was one of the main obstacles in their widespread clinical availability, the J-PET tomography system based on plastic scintillators could be a cost-efficient alternative for Total-Body PET scanners.

Keywords: GATE simulation; J-PET; Sensitivity; Total-Body PET; uEXPLORER.

Conflict of interest statement

The authors declare that they have no competing interests.

© 2023. Springer Nature Switzerland AG.

Figures

Fig. 1
Fig. 1
A.I, Visualization of uEXPLORER TB PET scanner consisting of 8 detection units (rings). Each unit is made up of 24 detection blocks (B.I). The blocks in uEXPLORER are composed of arrays (C.I). The arrays are the smallest detection units of uEXPLORER and hold 6 × 7 scintillation crystals (blue) together and couple them to the SiPM matrix (black). A.II shows the sparse geometry based on uEXPLORER, including 29 detection units (rings). In contrast, arrays are distributed in smaller detection blocks (B.II). A.III TB J-PET consists of 4 layers of EJ-230 plastic scintillator strips (gray), which have been located parallel to the axial axes of the scanner (B.III). The modules in TB J-PET have been equipped with wavelength-shifting plastics (WLS, green)
Fig. 2
Fig. 2
Illustration of scintillators arrangements, the principle of detection and reconstruction of annihilation positions. (Left) Representation of J-PET plastic scintillator-based technology where the axially arranged scintillator (blue) is readout by two photomultipliers of both ends (gray). (Right) Representation of crystal-based technology with the radially arranged scintillators (blue), where each one is read out with corresponding photomultipliers (gray). The fractional energy resolution for the energy deposited by the annihilation photon in a single plastic scintillator strip has been measured σ(E)/E≈0.044/E(MeV), based on the previous investigation in J-PET collaboration [25]
Fig. 3
Fig. 3
Schematic visualization of uEXPLORER (I) (blue) [8, 10, 13]) and sparse geometry (transparent yellow) with 194.8 cm of AFOV and dual layers. TB J-PET (II) with axially arranged plastic scintillators (gray) coupled with SiPMs (black) at each end and arrays of WLS (green) between each layer. The oblique LORs (with large values of θ) have a negative contribution in the spatial resolutions due to the parallax error. To avoid it, uEXPLORER uses a ring-based cut that accepts the coincidences within a maximum of 5 rings. As shown in figure (II), TB J-PET uses continuous plastic scintillators (gray), θAA denotes the acceptance angle applied for it to cut oblique LORs. θMax demonstrate the largest angle of detectable oblique coincidences
Fig. 4
Fig. 4
a Sensitivity [cps/kBq] profiles of all the TB PET geometries with a 2.5 m line source located in their central axial axis. b Sensitivity [cps/kBq] profiles of all the TB PET geometries with a 2.5 m line source located in their central axial axis with 57∘ degree of acceptance angle for J-PET based scanners and five ring difference cut for uEXPLORER tomographs
Fig. 5
Fig. 5
a Sensitivity [cps/kBq] profiles of the TB PET scanners with a 2.5 m line source inside a 183 cm water-filled cylindrical phantom with a diameter of 20 cm. b Sensitivity [cps/kBq] profiles of the TB PET scanners with a 2.5 m line source inside a 183 cm water-filled cylindrical phantom with a diameter of 20 cm, with 57∘ of acceptance angle for J-PET-based scanners and five ring difference cut for uEXPLORER tomographs
Fig. 6
Fig. 6
Sensitivity [cps/kBq] profile of the TB PET scanners with a 2.5 m line source inside a 183 cm long water-filled cylindrical phantom with a diameter of 20 cm and acceptance cut. The schematic visualization of a male patient is added to represent the position of a 183 cm height person in the sensitivity profile of the tomographs with 57∘ of acceptance angle for J-PET-based scanners and five ring difference cut for uEXPLORER tomographs
Fig. 7
Fig. 7
Representation of the total sensitivity of the scanner as a function of the sum of the required photomultiplier covered area. The TB PET systems based on the J-PET technology are marked with black circles. Four additional ring-based TB J-PET geometries are marked with blue circles. The crystal-based geometries are marked in the plot with black triangles. Each ring of the J-PET is constructed as a separate tomograph with 50 cm length scintillators. Two existing systems (Biograph Vision and uEXPLORER from LYSO crystals) were colored red

References

    1. Alavi A, Werner J, Stȩpień E, Moskal P. Unparalleled and revolutionary impact of pet imaging on research and day to day practice of medicine. Bio-Algorithms Med-Syst. 2021;17(4):203–212. doi: 10.1515/bams-2021-0186.
    1. Vandenberghe S, Moskal P, Karp JS. State of the art in total body pet. EJNMMI Phys. 2020;7:35. doi: 10.1186/s40658-020-00290-2.
    1. Vandenberghe S. Progress and perspectives in total body pet systems instrumentation. Bio-Algorithms Med-Syst. 2021;17(4):265–7. doi: 10.1515/bams-2021-0187.
    1. Alavi A, Saboury B, Nardo L. Potential and most relevant applications of total body pet/ct imaging. Clin Nucl Med. 2022;47(1):43–55. doi: 10.1097/RLU.0000000000003962.
    1. Surti S, Pantel P, Karp J. Total body pet: why, how, what for? IEEE Trans Radiat Plasma Med Sci. 2020;4(3):283–92. doi: 10.1109/TRPMS.2020.2985403.
    1. Cesar M, Todd T, Phil S. Low-dose imaging in a new preclinical total-body pet/ct scanner. Front Med. 2019;6:88. doi: 10.3389/fmed.2019.00088.
    1. Moskal P, Stȩpień E. Prospects and clinical perspectives of total-body pet imaging using plastic scintillators. PET Clin. 2020;15(4):439–452. doi: 10.1016/j.cpet.2020.06.009.
    1. Spencer B, Berg E, Schmall J, et al. Performance evaluation of the uexplorer total-body pet/ct scanner based on nema nu 2–2018 with additional tests to characterize pet scanners with a long axial field of view. J Nucl Med. 2021;62(6):861–70. doi: 10.2967/jnumed.120.250597.
    1. Leung E, Berg E, Omidvari N, et al. Quantitative accuracy in total-body imaging using the uexplorer pet/ct scanner. Phys Med Biol. 2021;66(20):205008. doi: 10.1088/1361-6560/ac287c.
    1. Badawi RD, Shi H, Hu P, et al. First human imaging studies with the explorer total-body pet scanner. J Nucl Med. 2019;60(3):299–303. doi: 10.2967/jnumed.119.226498.
    1. Lan X, Fan K, Li K, Cai W. Dynamic pet imaging with ultra-low-activity of 18f-fdg: unleashing the potential of total-body pet. Eur J Nucl Med Mol Imaging. 2021;48(13):4138–41. doi: 10.1007/s00259-021-05214-5.
    1. Wang Y, Li E, Cherry S, Wang G. Total-body pet kinetic modeling and potential opportunities using deep learning. PET Clin. 2021;16(4):613–25. doi: 10.1016/j.cpet.2021.06.009.
    1. Cherry S, Jones T, Karp J, et al. Total-body pet: maximizing sensitivity to create new opportunities for clinical research and patient care. J Nucl Med. 2018;59(1):3–12. doi: 10.2967/jnumed.116.184028.
    1. Poon J, Dahlbom M, Moses W, et al. Optimal whole-body pet scanner configurations for different volumes of lso scintillator: a simulation study. Phys Med Biol. 2012;57(13):4077–94. doi: 10.1088/0031-9155/57/13/4077.
    1. Efthimiou N. New challenges for pet image reconstruction for total-body imaging. PET Clin. 2020;15(4):439–52. doi: 10.1016/j.cpet.2020.06.002.
    1. Moskal P, Stȩpień E. New trends in theranostics. Bio-Algorithms Med-Syst. 2021;17(4):199–202. doi: 10.1515/bams-2021-0204.
    1. Moskal P, Rza̧ca C, stȩpień E. Novel biomarker and drug delivery systems for theranostics: extracellular vesicles. Bio-Algorithms Med-Syst. 2021;17(4):301–309. doi: 10.1515/bams-2021-0183.
    1. Zein S, Karakatsanis N, Issa M, et al. Physical performance of a long axial field-of-view pet scanner prototype with sparse rings configuration: a monte carlo simulation study. Med Phys. 2020;47(4):1949–57. doi: 10.1002/mp.14046.
    1. Karakatsanis N, Nehmeh M, Conti M, et al. Physical performance of adaptive axial fov pet scanners with a sparse detector block rings or a checkerboard configuration. Phys Med Biol. 2022;67:105010. doi: 10.1088/1361-6560/ac6aa1.
    1. Moskal P, Kowalski P, Shopa R, et al. Simulating nema characteristics of the modular total-body j-pet scanner -an economic total-body pet from plastic scintillators. Phys Med Biol. 2021;66(17):175015. doi: 10.1088/1361-6560/ac16bd.
    1. Moskal P, Niedzwiecki S, Bednarski T, Czerwinski E, Kaplon L, et al. Test of a single module of the j-pet scanner based on plastic scintillators. Nucl Instr and Meth A. 2014;764:317–21. doi: 10.1016/j.nima.2014.07.052.
    1. Moskal P, Gajos A, Mohammed M, et al. Testing cpt symmetry in ortho-positronium decays with positronium annihilation tomography. Nat Commun. 2021;12:5658. doi: 10.1038/s41467-021-25905-9.
    1. Moskal P, Dulski K, Chug N, Curceanu C, Czerwiński E, et al. Positronium imaging with the novel multiphoton pet scanner. Sci Adv. 2021;7(42):4394. doi: 10.1126/sciadv.abh4394.
    1. Moskal P, Kisielewska D, Curceanu C, et al. Feasibility study of the positronium imaging with the j-pet tomograph. Phys Med Biol. 2019;7(64):055017. doi: 10.1088/1361-6560/aafe20.
    1. Kowalski P, Wiślicki W, Shopa R, et al. Estimating the nema characteristics of the j-pet tomograph using the gate package. Phys Med Biol. 2018;63:165008. doi: 10.1088/1361-6560/aad29b.
    1. Moskal P, Rundel O, Alfs D, et al. Time resolution of the plastic scintillator strips with matrix photomultiplier readout for j-pet tomograph. Phys Med Biol. 2018;61(5):2025–47. doi: 10.1088/0031-9155/61/5/2025.
    1. Moskal P, Zoń N, Bednarski T, Białias P, Czerwiński E, et al. A novel method for the line-of-response and time-of-flight reconstruction in tof-pet detectors based on a library of synchronized model signals. Nucl Instr Meth A. 2015;775:54–62. doi: 10.1016/j.nima.2014.12.005.
    1. Raczyński L, Moskal P, Kowalski P, Wiślicki W, Bednarski T, Białas P, et al. Novel method for hit-position reconstruction using voltage signals in plastic scintillators and its application to positron emission tomography. Nucl Instr Meth A. 2015;764:186–192. doi: 10.1016/j.nima.2014.07.032.
    1. Raczyński L, Wiślicki W, Klimaszewski K, Krzemień W, Kopka P, et al. 3d tof-pet image reconstruction using total variation regularization. Phys Med. 2020;80:230–242. doi: 10.1016/j.ejmp.2020.10.011.
    1. Jan S, Santin G, Strul D, et al. Gate: a simulation toolkit for pet and spect. Phys Med Biol. 2004;49(19):4543. doi: 10.1088/0031-9155/49/19/007.
    1. Sarrut D, Bałia M, Bardiès M, Bert J, et al. Advanced Monte Carlo simulations of emission tomography imaging systems with gate. Phys Med Biol. 2021;66:10TR03. doi: 10.1088/1361-6560/abf276.
    1. Zhang X, Xie Z, Berg E, et al. Total-body dynamic reconstruction and parametric imaging on the uexplorer. J Nucl Med. 2021;61(2):285–91. doi: 10.2967/jnumed.119.230565.
    1. Zhang J, Knopp M, MV K. Sparse detector configuration in sipm digital photon countingvpet: a feasibility study. Mol Imaging Biol. 2018;21(3):447–453. doi: 10.1007/s11307-018-1250-7.
    1. Smyrski J, Alfs D, Bednarski T, Czerwiński E, et al. Measurement of gamma quantum interaction point in plastic scintillator with wls strips. Nucl Instrum Methods Phys Res A. 2017;851:39–42. doi: 10.1016/j.nima.2017.01.045.
    1. Van Sluis J, Jong J, Schaar J, et al. Performance characteristics of the digital biograph vision pet/ct system. J Nucl Med. 2019;60(7):1031–6. doi: 10.2967/jnumed.118.215418.
    1. Carlier T, Ferrer L, Conti M, et al. From a pmt-based to a sipm-based pet system: a study tovdefine matched acquisition/reconstruction parameters and nema performance of the biograph vision 450. EJNMMI Phys. 2020;7:55. doi: 10.1186/s40658-020-00323-w.
    1. Prenosil G, Sari H, Fürstner M, et al. Performance characteristics of the biograph vision quadra pet/ct system with long axial field of view using the nema nu 2–2018 standard. J Nucl Med. 2021;63(3):476–484. doi: 10.2967/jnumed.121.261972.
    1. Tan H, Gu Y, Yu H, et al. Total-body pet/ct: current applications and future perspectives. Am J Roentgenol. 2021;215(2):325–37. doi: 10.2214/ajr.19.22705.
    1. Petersen E, Neilson P, LaBella A. Performance simulation of high resolution and high sensitivity prism-pet brain scanner. J Nucl Med. 2020;61(1):1502–1502.
    1. Dadgar M, Parzych S, Tayefi F. A simulation study to estimate optimum lor angular acceptance for the image reconstruction with the Total-Body j-pet. In: Smith, Y. (ed.) Medical Image Understanding and Analysis Lecture notes in computer science, Lect. Notes Comput. Sci. ; Oxford, pp. 189–200 (2021). 10.1007/978-3-030-80432-9_15
    1. Kaplon L. Technical attenuation length measurement of plastic scintillator strips for the total-body j-pet scanner. IEEE Trans Nucl Sci. 2020;67(10):2286–9. doi: 10.1109/TNS.2020.3012043.
    1. Moskal P, Stȩpień E. Positronium as a biomarker of hypoxia. Bio-Algorithms Med-Syst. 2021;17(4):311–319. doi: 10.1515/bams-2021-0189.

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