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A preliminary study on 3D position reconstruction of monolithic crystal readout

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Abstract

Purpose

Compared to pixelated crystal detectors, monolithic crystal detectors present more advantages. Without reflective layer between crystal pixel, monolithic crystal detectors provide higher detection efficiency while being cheaper. Another important feature is that monolithic crystal detectors can provide depth of interaction (DOI) information, which can improve image quality in nuclear imaging systems. In this article, we aim to study a new positioning scheme of this kind of detector in order to push its applications in nuclear imaging systems.

Methods

Fan-beam collimation and convolutional neural network are combined to reconstruct interaction points in crystal. Firstly, we built a monolithic detector model based on Geant4 and validated this positioning scheme with simulation data. Then, we constructed a monolithic GAGG(Ce) detector and evaluated its performance with experimental data.

Results

With proposed positioning scheme, in experiment, we obtained ~ 1.7 mm FWHM resolution on average in x-/y-direction, while ~ 2.5 mm FWHM resolution on average in DOI direction for a 33 × 33 × 10 mm3 monolithic GAGG(Ce) crystal coupled with 8 × 8 SiPM array.

Conclusion

Through simulations and experiments, we validated our positioning scheme, i.e., fan-beam collimation and convolutional neural network. Convolutional neural network can reconstruct 3D positions of gamma-rays interaction points in a high resolution, and fan-beam collimation can provide high calibration efficiency; with combination of them, we established a high position resolution and high calibration efficiency positioning scheme for monolithic crystal detector.

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References

  1. E. Berg, S.R. Cherry, Innovations in instrumentation for positron emission tomography. Semin. Nucl. Med. 48(4), 311–331 (2018)

    Article  Google Scholar 

  2. T. Lee, H. Lee, W. Lee, Coded aperture imager with depth of interaction scintillators. Nucl. Instrum. Methods Phys. Res. Sect. A, 2020. 954

  3. R. Vinke, C.S. Levin, A method to achieve spatial linearity and uniform resolution at the edges of monolithic scintillation crystal detectors. Phys. Med. Biol. 59(12), 2975–2995 (2014)

    Article  Google Scholar 

  4. P. Antich et al., 3D position readout from thick scintillators. Nucl. Instrum. Methods Phys. Res. Sect. A 480(2–3), 782–787 (2002)

    Article  ADS  Google Scholar 

  5. J. Joung, R.S. Miyaoka, T.K. Lewellen, cMiCE: a high resolution animal PET using continuous LSO with a statistics based positioning scheme. Nucl. Instrum. Methods Phys. Res. Sect. A 489(1), 584–598 (2002)

    Article  ADS  Google Scholar 

  6. T. Ling, T.K. Lewellen, R.S. Miyaoka, Depth of interaction decoding of a continuous crystal detector module. Phys. Med. Biol. 52(8), 2213–2228 (2007)

    Article  Google Scholar 

  7. R.S. Miyaoka et al., Calibration procedure for a continuous miniature crystal element (cMiCE) detector. IEEE Trans. Nucl. Sci. 57(3), 1023–1028 (2010)

    Article  ADS  Google Scholar 

  8. P. Bruyndonckx et al., Study of spatial resolution and depth of interaction of APD-based PET detector modules using light sharing schemes. IEEE Trans. Nucl. Sci. 50(5), 1415–1419 (2003)

    Article  ADS  Google Scholar 

  9. P. Bruyndonckx et al., Towards a continuous crystal APD-based PET detector design. Nucl. Instrum. Methods Phys. Res. Sect. A 571(1–2), 182–186 (2007)

    Article  ADS  Google Scholar 

  10. P. Conde et al., Determination of the interaction position of gamma photons in monolithic scintillators using neural network fitting. IEEE Trans. Nucl. Sci. 63(1), 30–36 (2016)

    Article  ADS  Google Scholar 

  11. A. Iborra et al., Ensemble of neural networks for 3D position estimation in monolithic PET detectors. Phys. Med. Biol. 64(19), 195010 (2019)

    Article  Google Scholar 

  12. M.C. Maas et al., Performance of APD-based monolithic-crystal detectors for small animal PET. IEEE Nucl. Sci. Symp. Confer. Rec. 1–5, 2017–2021 (2005)

    Google Scholar 

  13. C.W. Lerche, et al., DOI measurement with monolithic scintillation crystals: a primary performance evaluation. IEEE Nucl. Sci. Symp. Confer. Rec. 1–11, 2594 (2007)

  14. T. Ling et al., Parametric positioning of a continuous crystal PET detector with depth of interaction decoding. Phys. Med. Biol. 53(7), 1843–1863 (2008)

    Article  Google Scholar 

  15. F. Müller et al., Gradient tree boosting-based positioning method for monolithic scintillator crystals in positron emission tomography. IEEE Trans. Radiat. Plasma Med. Sci. 2(5), 411–421 (2018)

    Article  Google Scholar 

  16. S. Agostinelli et al., Geant4—a simulation toolkit. Nucl. Instrum. Methods Phys. Res., Sect. A 506(3), 250–303 (2003)

    Article  ADS  Google Scholar 

  17. D.A.B. Bonifacio, et al. A time efficient optical model for GATE simulation of a LYSO scintillation matrix used in PET applications. in 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC). 2009

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Acknowledgement

This work was supported by the Technology Innovation Project of IHEP.

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Authors and Affiliations

  1. Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China

    Wen He, Xianchao Huang, Yingjie Wang, Baotong Feng, Meiling Zhu, Shuangquan Liu, Zhiming Zhang & Long Wei

  2. School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China

    Wen He, Zhiming Zhang & Long Wei

Authors
  1. Wen He
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  2. Xianchao Huang
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  3. Yingjie Wang
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  4. Baotong Feng
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  5. Meiling Zhu
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  6. Shuangquan Liu
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  7. Zhiming Zhang
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  8. Long Wei
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Corresponding author

Correspondence to Xianchao Huang.

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On behalf of all authors, the corresponding author states that there is no conflict of interest.

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He, W., Huang, X., Wang, Y. et al. A preliminary study on 3D position reconstruction of monolithic crystal readout. Radiat Detect Technol Methods 5, 102–109 (2021). https://doi.org/10.1007/s41605-020-00225-6

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  • DOI: https://doi.org/10.1007/s41605-020-00225-6

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