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Static superconducting gantry-based proton CT combined with X-ray CT as prior image for FLASH proton therapy

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Abstract

Proton FLASH therapy with an ultra-high dose rate is in urgent need of more accurate treatment plan system (TPS) to promote the development of proton computed tomography (CT) without intrinsic error compared with the transformation from X-ray CT. This paper presents an imaging mode of proton CT based on static superconducting gantry different from the conventional rotational gantry. The beam energy for proton CT is fixed at 350 MeV, which is boosted by a compact proton linac from 230 MeV, and then delivered by the gantry to scan the patient’s body for proton imaging. This study demonstrates that the static superconducting gantry-based proton CT is effective in clinical applications. In particular, the imaging mode, which combines the relative stopping power (RSP) map from X-ray CT as prior knowledge, can produce much a higher accuracy RSP map for TPSs and positioning and achieve ultra-fast image for real-time image-guided radiotherapy. This paper presents the conceptual design of a boosting linac, static superconducting gantry and proton CT imaging equipment. The feasibility of energy enhancement is verified by simulation, and results from Geant4 simulations and reconstruction algorithms are presented, including the simulation verification of the advantage of the imaging mode.

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References

  1. Particle Therapy Cooperative Group (PTCOG) Collaboration. http://www.ptcog.com

  2. E.S. Diffenderfer, B.S. Srensen, A. Mazal et al., The current status of preclinical proton FLASH radiation and future directions. Med. Phys. 49, 2039–2054 (2022). https://doi.org/10.1002/mp.15276

    Article  Google Scholar 

  3. A. Mandapaka, A. Ghebremedhin, D. Farley et al., SU-E-J-35: clinical performance evaluation of a phase II proton CT scanner. Med. Phys. 41(6), 162 (2014). https://doi.org/10.1118/1.4888087

    Article  Google Scholar 

  4. B. Schaffner, E. Pedroni, The precision of proton range calculations in proton radiotherapy treatment planning: experimental verification of the relation between CT-HU and proton stopping power. Phys. Med. Biol. 43(6), 1579–1592 (1998). https://doi.org/10.1088/0031-9155/43/6/016

    Article  Google Scholar 

  5. A.M. Cormack, Representation of a function by its line integrals, with some radiological applications. J. Appl. Phys. 34, 2722–2727 (1963). https://doi.org/10.1063/1.1729798

    Article  ADS  MATH  Google Scholar 

  6. U. Schneider, J. Besserer, P. Pemler et al., First proton radiography of an animal patient. Med. Phys. 31(5), 1046–1051 (2004). https://doi.org/10.1118/1.1690713

    Article  Google Scholar 

  7. X.Y. Chen, R.R. Liu, S. Zhou et al., A novel design of proton computed tomography detected by multiple-layer ionization chamber with strip chambers: a feasibility study with Monte Carlo simulation. Med. Phys. 47, 614–625 (2019). https://doi.org/10.1002/mp.13909

    Article  Google Scholar 

  8. S. Deffet, M. Cohilis, K. Souris et al., openPR—a computational tool for CT conversion assessment with proton radiography. Med. Phys. 48(1), 387–396 (2021). https://doi.org/10.1002/mp.14571

    Article  Google Scholar 

  9. Y.J. Ma, Y. Ren, P. Feng et al., Sinogram denoising via attention residual dense convolutional neural network for low-dose computed tomography. Nucl. Sci. Tech. 32, 41 (2021). https://doi.org/10.1007/s41365-021-00874-2

    Article  Google Scholar 

  10. K. Chen, L.B. Zhang, J.S. Liu et al., Robust restoration of low-dose cerebral perfusion CT images using NCS-Unet. Nucl. Sci. Tech. 33, 30 (2022). https://doi.org/10.1007/s41365-022-01014-0

    Article  Google Scholar 

  11. E. Oponowicz, H. Owen, Superconducting gantry design for proton tomography, in Proceedings of IPAC2017, Copenhagen, Denmark (2017), pp. 4795–4797

  12. W.C. Fang, X.X. Huang, J.H. Tan et al., Proton linac-based therapy facility for ultra-high dose rate (FLASH) treatment. Nucl. Si. Tech. 32, 34 (2021). https://doi.org/10.1007/s41365-021-00872-4

    Article  Google Scholar 

  13. A. Kamal, Passage of charged particles through matter, in Nuclear Physics. (Springer, Berlin Heidelberg, 2014), pp. 1–81

  14. S.N. Penfold, A.B. Rosenfeld, R.W. Schulte et al., A more accurate reconstruction system matrix for quantitative proton computed tomography. Med. Phys. 36(10), 4511–4518 (2009). https://doi.org/10.1118/1.3218759

    Article  Google Scholar 

  15. D.C. Williams, The most likely path of an energetic charged particle through a uniform medium. Phys. Med. Biol. 49, 2899 (2004). https://doi.org/10.1088/0031-9155/49/13/010

    Article  Google Scholar 

  16. R.W. Schulte, S.N. Penfold, J.T. Tafas et al., A maximum likelihood proton path formalism for application in proton computed tomography. Med. Phys. 35, 4849–4856 (2008). https://doi.org/10.1118/1.2986139

    Article  Google Scholar 

  17. R. Schulte, V. Bashkirov, T.F. Li et al., Design of a proton computed tomography system for applications in proton radiation therapy, in Proceedings of the 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515), vol. 3 (2013), pp. 1579–1583. https://doi.org/10.1109/NSSMIC.2003.1352179

  18. Y. Zhang, W.C. Fang, X.X. Huang et al., Design, fabrication, and cold test of an S-band high-gradient accelerating structure for compact proton therapy facility. Nucl. Sci. Tech. 32, 38 (2021). https://doi.org/10.1007/s41365-021-00869-z

    Article  Google Scholar 

  19. Y. Zhang, W.C. Fang, X.X. Huang et al., Radio frequency conditioning of an S-band accelerating structure prototype for compact proton therapy facility. Nucl. Sci. Tech. 32, 64 (2021). https://doi.org/10.1007/s41365-021-00891-1

    Article  Google Scholar 

  20. C. Wang, Z.H. Zhu, Z.G. Jiang et al., Design of a 162.5 MHz continuous-wave normal-conducting radiofrequency electron gun. Nucl. Sci. Tech. 31, 110 (2020). https://doi.org/10.1007/s41365-020-00817-3

    Article  Google Scholar 

  21. C. Wang, J.H. Tan, X.X. Huang et al., Design optimization and cold RF test of a 2.6-cell cryogenic RF gun. Nucl. Sci. Tech. 32, 97 (2021). https://doi.org/10.1007/s41365-021-00925-8

    Article  Google Scholar 

  22. H. Paganetti, Range uncertainties in proton therapy and the role of Monte Carlo simulations. Phys. Med. Biol. 57(11), 99–117 (2012). https://doi.org/10.1088/0031-9155/57/11/r99

    Article  Google Scholar 

  23. J.H. Tan, W.C. Fang, Z.T. Zhao et al., Two-mode polarized traveling wave deflecting structure. Nucl. Sci. Tech. 26(4), 040102 (2015). https://doi.org/10.13538/j.1001-8042/nst.26.040102

    Article  Google Scholar 

  24. W.S. Wan, L. Brouwer, S. Caspi et al., Alternating-gradient canted cosine theta superconducting magnets for future compact proton gantries. Phys. Rev. Accel. Beams 18, 103501 (2015). https://doi.org/10.1103/PhysRevSTAB.18.103501

    Article  ADS  Google Scholar 

  25. R.F. Hurley, R.W. Schulte, V.A. Bashkirov et al., Water-equivalent path length calibration of a prototype proton CT scanner. Med. Phys. 39(5), 2438–2446 (2012). https://doi.org/10.1118/1.3700173

    Article  Google Scholar 

  26. V. Giacometti, V.A. Bashkirov, P. Piersimoni et al., Software platform for simulation of a prototype proton CT scanner. Med. Phys. 44(3), 1002–1016 (2017). https://doi.org/10.1002/mp.12107

    Article  Google Scholar 

  27. R.C. Gonzalez, R.E. Woods, B.R. Masters, Digital image processing, third edition. J. Biomed. Opt. 14(2), 029901 (2009). https://doi.org/10.1117/1.3115362

    Article  ADS  Google Scholar 

  28. W. Yu, I. Zeng, A novel weighted total difference based image reconstruction algorithm for few-view computed tomography. PLoS ONE 9(10), e109345 (2014). https://doi.org/10.1371/journal.pone.0109345

    Article  ADS  Google Scholar 

  29. G.A.P. Cirrone, M. Bucciolini, M. Bruzzi et al., Monte Carlo evaluation of the filtered back projection method for image reconstruction in proton computed tomography. Nucl. Instrum. Methods 658(1), 78–83 (2011). https://doi.org/10.1016/j.nima.2011.05.061

    Article  ADS  Google Scholar 

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Authors and Affiliations

  1. Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, 201800, China

    Yu-Qing Yang

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Yu-Qing Yang, Wen-Cheng Fang & Zhen-Tang Zhao

  3. School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China

    Yu-Qing Yang & Zhen-Tang Zhao

  4. Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201204, China

    Yu-Qing Yang, Wen-Cheng Fang, Xiao-Xia Huang, Jian-Hao Tan, Cheng Wang, Chao-Peng Wang & Zhen-Tang Zhao

Authors
  1. Yu-Qing Yang
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  2. Wen-Cheng Fang
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  3. Xiao-Xia Huang
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  4. Jian-Hao Tan
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  5. Cheng Wang
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  6. Chao-Peng Wang
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  7. Zhen-Tang Zhao
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Contributions

All authors contributed to the study conception and design. Model design, simulation calculation and analysis were performed by Yu-Qing Yang, Xiao-Xia Huang and Jian-Hao Tan. Resources and supervision were performed by Wen-Cheng Fang, Cheng Wang, Chao-Peng Wang and Zhen-Tang Zhao. The first draft of the manuscript was written by Yu-Qing Yang and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Wen-Cheng Fang or Xiao-Xia Huang.

Additional information

This work was supported by the Research collaboration on Thailand new synchrotron light source facility (SPS-II) (No. ANSO-CR-KP-2020-16).

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Yang, YQ., Fang, WC., Huang, XX. et al. Static superconducting gantry-based proton CT combined with X-ray CT as prior image for FLASH proton therapy. NUCL SCI TECH 34, 11 (2023). https://doi.org/10.1007/s41365-022-01163-2

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  • DOI: https://doi.org/10.1007/s41365-022-01163-2

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