Monte Carlo simulation of PET and SPECT imaging of 90Y

被引:12
|
作者
Takahashi, Akihiko [1 ]
Himuro, Kazuhiko [2 ]
Yamashita, Yasuo [2 ]
Komiya, Isao [2 ]
Baba, Shingo [3 ]
Sasaki, Masayuki [1 ]
机构
[1] Kyushu Univ, Fac Med Sci, Dept Hlth Sci, Higashi Ku, Fukuoka 8128582, Japan
[2] Kyushu Univ Hosp, Dept Med Technol, Div Radiol, Higashi Ku, Fukuoka 8128582, Japan
[3] Kyushu Univ Hosp, Dept Clin Radiol, Higashi Ku, Fukuoka 8128582, Japan
关键词
yittrium-90; PET; bremsstrahlung SPECT; Monte Carlo simulation; INTERNAL PAIR PRODUCTION; BREMSSTRAHLUNG; RESOLUTION;
D O I
10.1118/1.4915545
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: Yittrium-90 (Y-90) is traditionally thought of as a pure beta emitter, and is used in targeted radionuclide therapy, with imaging performed using bremsstrahlung single-photon emission computed tomography (SPECT). However, because Y-90 also emits positrons through internal pair production with a very small branching ratio, positron emission tomography (PET) imaging is also available. Because of the insufficient image quality of Y-90 bremsstrahlung SPECT, PET imaging has been suggested as an alternative. In this paper, the authors present the Monte Carlo-based simulation-reconstruction framework for Y-90 to comprehensively analyze the PET and SPECT imaging techniques and to quantitatively consider the disadvantages associated with them. Methods: Our PET and SPECT simulation modules were developed using Monte Carlo simulation of Electrons and Photons (MCEP), developed by Dr. S. Uehara. PET code (MCEP-PET) generates a sinogram, and reconstructs the tomography image using a time-of-flight ordered subset expectation maximization (TOF-OSEM) algorithm with attenuation compensation. To evaluate MCEP-PET, simulated results of F-18 PET imaging were compared with the experimental results. The results confirmed that MCEP-PET can simulate the experimental results very well. The SPECT code (MCEP-SPECT) models the collimator and NaI detector system, and generates the projection images and projection data. To save the computational time, the authors adopt the prerecorded Y-90 bremsstrahlung photon data calculated by MCEP. The projection data are also reconstructed using the OSEM algorithm. The authors simulated PET and SPECT images of a water phantom containing six hot spheres filled with different concentrations of Y-90 without background activity. The amount of activity was 163 MBq, with an acquisition time of 40 min. Results: The simulated Y-90-PET image accurately simulated the experimental results. PET image is visually superior to SPECT image because of the lowbackground noise. The simulation reveals that the detected photon number in SPECT is comparable to that of PET, but the large fraction (approximately 75%) of scattered and penetration photons contaminates SPECT image. The lower limit of Y-90 detection in SPECT image was approximately 200 kBq/ml, while that in PET image was approximately 100 kBq/ml. Conclusions: By comparing the background noise level and the image concentration profile of both the techniques, PET image quality was determined to be superior to that of bremsstrahlung SPECT. The developed simulation codes will be very useful in the future investigations of PET and bremsstrahlung SPECT imaging of Y-90. (C) 2015 American Association of Physicists in Medicine.
引用
收藏
页码:1926 / 1935
页数:10
相关论文
共 50 条
  • [1] Monte Carlo simulation of 90Y Bremsstrahlung imaging
    Heard, S
    Flux, GD
    Guy, MJ
    Ott, RJ
    [J]. 2004 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-7, 2004, : 3579 - 3583
  • [2] Comparison images between PET and SPECT of 90Y: A Monte-Carlo simulation study
    Shiba, Hiroaki
    Takahashi, Akihiko
    Sasaki, Masayuki
    Himuro, Kazuhiko
    Yamashita, Yasuo
    Baba, Shingo
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2015, 56 (03)
  • [3] Internal bremsstrahlung: a forgotten but significant effect in 90Y SPECT and 90Y PET imaging
    Walrand, S.
    Hesse, M.
    Lhommel, R.
    Francois, J.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2017, 44 : S177 - S177
  • [4] Quantitative Monte Carlo-Based 90Y SPECT Reconstruction
    Elschot, Mattijs
    Lam, Marnix G. E. H.
    van den Bosch, Maurice A. A. J.
    Viergever, Max A.
    de Jong, Hugo W. A. M.
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2013, 54 (09) : 1557 - 1563
  • [5] 90Y microsphere therapy: does 90Y PET/CT imaging obviate the need for 90Y Bremsstrahlung SPECT/CT imaging?
    Zade, Anand A.
    Rangarajan, Venkatesh
    Purandare, Nilendu C.
    Shah, Sneha A.
    Agrawal, Archi R.
    Kulkarni, Suyash S.
    Shetty, Nitin
    [J]. NUCLEAR MEDICINE COMMUNICATIONS, 2013, 34 (11) : 1090 - 1096
  • [6] Comparative analysis of 90Y Bremsstrahlung SPECT/CT and 90Y PET/CT imaging of 90Y microsphere therapy
    Rangarajan, V.
    Zade, A.
    Jha, A.
    Singh, A.
    Shah, S.
    Agrawal, A.
    Purandare, N.
    Shetty, N.
    Kulkarni, S.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2012, 39 : S312 - S312
  • [7] Advancing Patient-Specific Dosimetry in 90Y Radioembolisation (SIRT): Added Benefit of Monte Carlo Simulation of 90Y PET
    Anderl, J.
    Beyer, T.
    Haug, A.
    Hoffmann, M.
    Hirtl, A.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2014, 41 : S333 - S333
  • [8] Monte Carlo simulation of 90Y PET imaging requires the modelling of internal bremsstrahlung and of long energy resolution tail
    Walrand, S.
    Hesse, M.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2017, 44 : S461 - S461
  • [9] Collimator and energy window optimization for 90Y bremsstrahlung SPECT imaging: A SIMIND Monte Carlo study
    Roshan, Hoda Rezaei
    Mahmoudian, Babak
    Gharepapagh, Esmaeil
    Azarm, Ahmadreza
    Islamian, Jalil Pirayesh
    [J]. APPLIED RADIATION AND ISOTOPES, 2016, 108 : 124 - 128
  • [10] Effect of Monte Carlo Collimator Modelling on 90Y Bremsstrahlung SPECT Images
    Porter, C. A.
    Walker, M. D.
    Bradley, K. M.
    McGowan, D. R.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2016, 43 : S502 - S502