Abstract
The purpose of this paper is to propose a friendly computational framework able to investigate particles tracking through different compartments of the human being using dedicated numerical techniques. The main building blocks of this framework are: (i) convenient X-ray spectra calculator for different filter/anode combination, (ii) realistic voxelized computational human phantom, (iii) validated Geant4-based Monte Carlo simulation, and (iv) extendable and free image processing software. We studied the multimodality SPECT/CT cardiac imaging using specific spectrum of the \(^{99\text{m}}\)Tc and 120 kVp X-ray beam, for internal and external exposure, respectively. The application of the framework to quantify the loss of information between combined and simultaneous coregistration was carried out. Two main objectives were addressed: (i) an ideal geometry was simulated for educational purposes (ii) a realistic case study was carried out, for research purposes, concerning the modeling of the GE Infinia II 3/8″ Gamma Camera. We compared the effect of using a NaI(Tl) and CZT crystal detector, and a LEHR and MEGP collimator with different uptake values of the heart organ (1:1, 5:1 and 50:1) for both simultaneous and combined SPECT/CT images. We confirmed the usefulness of the NaI(Tl) crystal with the LEHR collimator for such kind of study.
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References
A.H. Gershlick et al., Role of non-invasive imaging in the management of coronary artery disease: an assessment of likely change over the next 10 years. A report from the British Cardiovascular Society Working Group. Heart 93, 423–431 (2007). https://doi.org/10.1136/hrt.2006.108779
H. Seo et al., Feasibility study on hybrid medical imaging device based on Compton imaging and magnetic resonance imaging. Appl. Radiat. Isot. 67, 1412–1415 (2009). https://doi.org/10.1016/j.apradiso.2009.02.082
W.P. Segars, B.M. Tsui, Study of the efficacy of respiratory gating in myocardial SPECT using the new 4D NCAT phantom. IEEE Trans. Nucl. Sci. 49(3), 675–679 (2002). https://doi.org/10.1109/tns.2002.1039548
L.S. Boia et al., Application of digital image processing for the generation of voxels phantoms for Monte Carlo simulation. Appl. Radiat. Isot. 70(1), 144–148 (2012). https://doi.org/10.1016/j.apradiso.2011.08.017
C.H. Kim et al., The reference phantoms: voxel vs polygon. Ann. ICRP 45(1 Suppl), 188–201 (2016). https://doi.org/10.1177/0146645315626036
D.B. Pelowitz et al., MCNPX Users Manual Version 2.6.0. LA-CP-07-1473 (Los Alamos National Laboratory, Los Alamos, 2007)
A. Ferrari et al., FLUKA: a multi-particle transport code. CERN 2005-10, INFN/TC_05/11, SLAC-R-773 (2005)
S. Agostinelli et al., GEANT4-a simulation toolkit Nucl. Instrum. Methods A 506, 250–303 (2003). https://doi.org/10.1016/S0168-9002(03)01368-8
S. Jan et al., GATE-Geant4 application for tomographic emission: a simulation toolkit for PET and SPECT. Phys. Med. Biol. 49(19), 4543–4561 (2004)
F. Zagni et al., Accurate modeling of a DOI capable small animal PET scanner using GATE. Appl. Radiat. Isot. 75, 105–114 (2013). https://doi.org/10.1016/j.apradiso.2013.02.003
O. Kadri et al., Computation and parameterization of normalized glandular dose using Geant4. Nucl. Sci. Technol. 26(030303), 1–6 (2015). https://doi.org/10.13538/j.1001-8042/nst.26.030303
L. Archambaul et al., Overview of Geant4 Applications in Medical Physics, in Conference: Nuclear Science Symposium Conference Record, 2003 IEEE, vol. 3. https://doi.org/10.1109/nssmic.2003.1352215
C.A. Schneider, W.S. Rasband, K.W. Eliceiri, NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675 (2012). https://doi.org/10.1038/nmeth.2089
J.B. Udo et al., Improved reconstructions and generalized filtered back projection for optical projection tomography. Appl. Opt. 50(4), 392–398 (2011). https://doi.org/10.1364/ao.50.000392
C.H. Kim et al., HDRK-Man: a whole-body voxel model based on high-resolution color slice images of a Korean adult male cadaver. Phys. Med. Biol. 53, 4093–4106 (2008). https://doi.org/10.1088/0031-9155/53/15/006
A. John et al., The Geant4 visualization system—a multi-driver graphics system. Int. J. Model. Simul. Sci. Comput. 04, 1340001 (2013). https://doi.org/10.1142/s1793962313400011
J. Allison et al., Recent developments in GEANT4. Nucl. Instrum. Methods Phys. Res. A 835, 186–225 (2016). https://doi.org/10.1016/j.nima.2016.06.125
A. Ma et al., Absorbed fractions in the revised MIRD head phantom calculated using MCNPX. J Nucl. Med. 54(2), 1032 (2013)
I.G. Zubal et al., Computerized three-dimensional segmented human anatomy. Med. Phys. 21, 299–302 (1994). https://doi.org/10.1118/1.597290
ICRU, Photon, Electron, Proton and Neutron Interaction Data for Body Tissues ICRU Report No 46 (International Commission on Radiation Units and Measurement, Bethesda, MD, 1992)
J. Punnoose et al., Technical note: spektr3.0—a computational tool for x-ray spectrum modeling and analysis. Med. Phys. 43(8), 4711–4717 (2016). https://doi.org/10.1118/1.4955438
O. Kadri et al., Incorporation of the Goudsmit–Saunderson electron transport theory in the Geant4 Monte Carlo code. Nucl. Instrum. Methods Phys. Res. B 267, 3624–3632 (2009). https://doi.org/10.1016/j.nimb.2009.09.015
H.C. Kim et al., Comparison of image uniformity with photon counting and conventional scintillation single-photon emission computed tomography system: a Monte Carlo simulation study. Nucl. Eng. Technol. 49(4), 776–780 (2017). https://doi.org/10.1016/j.net.2016.12.002
P.A. Toft, J.A. Srensen, The Radon Transform—Theory and Implementation (Kgs. Lyngby, Denmark: Technical University of Denmark (DTU), 1996). http://orbit.dtu.dk/files/5529668/Binder1.pdf
M. Lyra, A. Ploussi, Filtering in SPECT image reconstruction. Int. J. Biomed. Imaging, vol. 2011, Article ID 693795 (2011). https://doi.org/10.1155/2011/693795
F.J. Harris, On the use of windows for harmonic analysis with the discrete Fourier transform. Proc. IEEE 66, 51 (1978). https://doi.org/10.1109/proc.1978.10837
M.-P. Garcia et al., TestDose: a nuclear medicine software based on Monte Carlo modeling for generating gamma camera acquisitions and dosimetry. Med. Phys. 42(12), 6885–6894 (2015). https://doi.org/10.1118/1.4934828
M.-P. Garcia et al., Accelerated GPU based SPECT Monte Carlo simulations. Phys. Med. Biol. 61(11), 4001–4018 (2016). https://doi.org/10.1088/0031-9155/61/11/4001
http://www.webqc.org/molecular-weight-of-CdZnTe.html. Accessed 20 May 2017
M. Ashoor et al., Evaluation of Compton attenuation and photoelectric absorption coefficients by convolution of scattering and primary functions and counts ratio on energy spectra. Indian J. Nucl. Med. 30(3), 239–247 (2009). https://doi.org/10.4103/0972-3919.158532
http://bigwww.epfl.ch/sage/soft/snr. Accessed 25 May 2017
R.C. Gonzalez, R.E. Woods, Digital Image Processing, 3rd edn. (Prentice Hall, Englewood Cliffs, 2008). ISBN: 013168728
Z. Wang et al., Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004). https://doi.org/10.1109/tip.2003.819861
R. Brun, F. Rademakers, ROOT—An Object Oriented Data Analysis Framework, in Proceedings AIHENP’96 Workshop, Lausanne, Sep. 1996, Nucl. Inst. & Meth. in Phys. Res. A, vol. 389, p. 81–86 (1997). https://doi.org/10.1016/S0168-9002(97)00048-X
J. Allison et al., The GEANT4 visualisation system. Comput. Phys. Commun. 178, 331–365 (2008). https://doi.org/10.1016/j.cpc.2007.09.010
P.P. Bruyant, Analytic and iterative reconstruction algorithms in SPECT. J. Nucl. Med. 43(10), 1343–1358 (2002)
S.M. Kim et al., Fully three-dimensional OSEM-based image reconstruction for Compton imaging using optimized ordering schemes. Phys. Med. Biol. 55(17), 5007–5027 (2010). https://doi.org/10.1088/0031-9155/55/17/009
R. Gordon, R. Bender, G.T. Herman, Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and x-ray photography. J. Theor. Biol. 29(3), 471–81 (1970). https://doi.org/10.1016/0022-5193(70)90109-8
P.H. Pretorius et al., Monte Carlo simulations of the GE discovery alcyone CZT SPECT systems. IEEE Trans. Nucl. Sci. 62(3), 832–839 (2015). https://doi.org/10.1109/TNS.2015.2433533
L. Chen, Y.-X. Wei, Monte Carlo simulations of the SNM spectra for CZT and NaI spectrometers. App. Radiat. Isot. 66, 1146–1150 (2008). https://doi.org/10.1016/j.apradiso.2008.01.008
F. James, M. Roos, Minuit: a system for function minimization and analysis of the parameter errors and correlations. Comput. Phys. Commun. 10, 343–367 (1975). https://doi.org/10.1016/0010-4655(75)90039-9
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Supported by the College of Applied Medical Sciences Research Centre and the Deanship of Scientific Research at King Saud University of Saudi Arabia.
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Alfuraih, A., Kadri, O. & Alzimami, K. Investigation of SPECT/CT cardiac imaging using Geant4. NUCL SCI TECH 29, 105 (2018). https://doi.org/10.1007/s41365-018-0435-8
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DOI: https://doi.org/10.1007/s41365-018-0435-8