Skip to main content
Log in

A study on a nonlinear least-squares fitting method for 3D positioning of gamma rays based on monolithic crystal and SiPM array

  • Original Paper
  • Published:
Radiation Detection Technology and Methods Aims and scope Submit manuscript

Abstract

Purpose

In order to improve imaging quality of position sensitive gamma detectors, many research groups especially those interested in positron emission tomography (PET) imaging have done many efforts to develop detecting method with depth of interaction (DOI) capability. A detector with a monolithic lutetium yttrium silicate (LYSO) crystal and an silicon photomultiplier (SiPM) array is constructed by our group for DOI detecting research.

Methods

3D interaction coordinates of gamma rays are estimated by a nonlinear least-squares fitting method based on an analytical model in which photon number collected by an SiPM pixel is related to solid angle seen from gamma interaction point and boundary reflection. We have assessed the gamma positioning performance of our detector by projecting a line-like 137Cs gamma beam on top and side surface of the crystal. Virtual source and solid angle factors in the analytical model have also been tested for the best performance both in simulations and experiments.

Results

Good gamma positioning images are demonstrated with both X–Y and DOI positioning resolutions close to 2 mm full width at half maximum (FWHM).

Conclusion

Comparing to former DOI methods, the performance of our DOI detector can be called competitive in positioning resolution, construction cost and difficulty of assembling.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

source b, gamma beam along Y-axis at X = − 3 (left), X = 0 (middle) and X = 3 (right)

Fig. 7

source b, gamma beam along Y-axis at X = − 3 (left), X = 0 (middle) and X = 3 (right)

Fig. 8

source b, gamma beam along X-axis at Y = − 3 (left), Y = 0 (middle) and Y = 3 (right)

Fig. 9

source b, gamma beam along X-axis at Y = − 3 (left), Y = 0 (middle) and Y = 3 (right)

Fig. 10

source: a gamma beam along X-axis at Y = − 3 (left), Y = 0 (middle) and Y = 3 (right); b gamma beam along Y-axis at X = − 3 (left), X = 0 (middle) and X = 3 (right)

Fig. 11

source: a X profiles with gamma beam along Y-axis at X = − 3 (left), X = 0 (middle) and X = 3 (right); b Y profiles with gamma beam along X-axis (bottom) at Y = − 3 (left), Y = 0 (middle) and Y = 3 (right)

Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

Notes

  1. AdvanSiD, Trento, Italy, https://advansid.com.

References

  1. E. Costa, E. Massaro, L. Piro et al., A BGO-CsI(Tl) phoswich: a new detector for X- and γ-ray astronomy. Nucl. Instrum. Methods Phys. Res., Sect. A 243, 572 (1986)

    Article  ADS  Google Scholar 

  2. M. Dahlbom, L. MacDonald, L. Eriksson et al., Performance of a YSO/LSO phoswich detector for use in a PET/SPECT system. IEEE Trans. Nucl. Sci. 44, 1114 (1997)

    Article  ADS  Google Scholar 

  3. J. Seidel, J. Vaquero, S. Siegel et al., Depth identification accuracy of a three layer phoswich PET detector module. IEEE Trans. Nucl. Sci. 46, 485 (1999)

    Article  ADS  Google Scholar 

  4. T. Binder et al., Performance evaluation of a staggered three-layer DOI PET detector using a 1 mm LYSO pitch with PETsys TOFPET2 ASIC: comparison of HAMAMATSU and KETEK SiPMs. Phys. Med. Biol. 66, 125016 (2021)

    Article  Google Scholar 

  5. W. Moses, S. Derenzo, R. Nutt et al., Performance of a PET detector module utilizing an array of silicon photodiodes to identify the crystal of interaction. IEEE Trans. Nucl. Sci. 40, 1036 (1993)

    Article  ADS  Google Scholar 

  6. Y. Yang, J. Qi, Y. Wu et al., Depth of interaction calibration for PET detectors with dual-ended readout by PSAPDs. Phys. Med. Biol. 54, 433 (2009)

    Article  Google Scholar 

  7. S. Salvador, J. Wurtz, D. Brasse, Optimizing PET DOI resolution with crystal coating and length. IEEE Trans. Nucl. Sci. 57, 2468 (2010)

    Article  ADS  Google Scholar 

  8. M. Ito, J.S. Lee, M.J. Park et al., Design and simulation of a novel method for determining depth-of-interaction in a PET scintillation crystal array using a single-ended readout by a multi-anode PMT. Phys. Med. Biol. 55, 3827 (2010)

    Article  Google Scholar 

  9. M. Pizzichemi, A. Polesel, G. Stringhini et al., On light sharing TOF-PET modules with depth of interaction and 157 ps FWHM coincidence time resolution. Phys. Med. Biol. 64, 155008 (2019)

    Article  Google Scholar 

  10. Xi. Zhang et al., Depth of interaction measurements based on rectangular light sharing window technology and nine-crystals-to-one-SiPM coupling method. IEEE Transactions Radiat. Plasma Med. Sci. 5, 3 (2021)

    Article  Google Scholar 

  11. C.W. Lerche et al., Depth of γ-ray interaction within continuous crystals from the width of its scintillation light-distribution. IEEE Trans. Nucl. Sci. 52, 560 (2005)

    Article  ADS  Google Scholar 

  12. W. Hunter, H. Barrett, L. Furenlid, Calibration method for ML estimation of 3D interaction position in a thick gamma-ray detector. IEEE Trans. Nucl. Sci. 56, 189–196 (2009)

    Article  ADS  Google Scholar 

  13. G. Borghi et al., Sub-3 mm, near-200 ps TOF/DOI-PET imaging with monolithic scintillator detectors in a 70 cm diameter tomographic setup. Phys. Med. Biol. 63, 155006 (2018)

    Article  Google Scholar 

  14. Y. Wang, L. Wang, D. Li, X. Cheng, Y. Xiao, Self-organizing map neural network-based depth-of-interaction determination for continuous crystal PET detectors. IEEE Trans. Nucl. Sci. 62, 3 (2015)

    Article  Google Scholar 

  15. A. Iborra et al., Ensemble of neural networks for 3D position estimation in monolithic PET detectors. Phys. Med. Biol. 64, 19 (2019)

    Article  Google Scholar 

  16. Z. Li et al., Nonlinear least-squares modeling of 3D interaction position in a monolithic scintillator block. Phys. Med. Biol. 55, 6515 (2010)

    Article  Google Scholar 

  17. D.J. Laan et al., Optical simulation of monolithic scintillator detectors using GATE/GEANT4. Phys. Med. Biol. 55, 1659–1675 (2010)

    Article  Google Scholar 

  18. X. Li et al., Study of PET detector performance with varying SiPM parameters and readout schemes. IEEE Trans. Nucl. Sci. 58, 3 (2011)

    Article  ADS  Google Scholar 

  19. A. Etxebeste, J. Barrio, E. Muñoz, J.F. Oliver, C. Solaz, G. Llosá, 3D position determination in monolithic crystals coupled to SiPMs for PET. Phys. Med. Biol. 61, 3914–3934 (2016)

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported in part by National Natural Science Foundation of China (No.11205108, No.11475121), Excellent Youth Found of Sichuan University (No.2016SCU04A13) and China Scholarship Council.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rong Zhou.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, H., Zhou, R., Yao, R. et al. A study on a nonlinear least-squares fitting method for 3D positioning of gamma rays based on monolithic crystal and SiPM array. Radiat Detect Technol Methods 6, 375–390 (2022). https://doi.org/10.1007/s41605-022-00333-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41605-022-00333-5

Keywords

Navigation