SlideShare a Scribd company logo
1 of 19
Download to read offline
Semi-empirical Monte Carlo optical-gain

modelling of Nuclear Imaging scintillators



   E. M. Vlamakis, X. A. Argyriou, T. J. Sevvos, A. A. Fotopoulos, N. N.
 Chatzisavvas, P. H. Yannakopoulos, N. Kalyvas, I. Valais, I. Kandarakis,
                             D. Nikolopoulos
Aim

Develop a theoretical model of the optical gain of single-

crystal   scintillators, via Monte Carlo methods. Compare

theoretical results to experimental data for photon energies of

140keV and 364keV. The presented results could be useful in

designing nuclear medicine imaging systems.
Introduction

Scintillation detector applications
  Conventional and digital x-ray
radiography,
 x-ray computed tomography,
  single-photon emission
tomography (SPECT)
  positron emission tomography
(PET)
Introduction +
  The emission of light of granular and non-granular
scintillators has been investigated through analytical
modelling [9-14].

  These models take into account scintillator thickness as the
main influencing parameter, while the other dimensions (e.g
area or lateral thickness) are assumed to be infinite. For the
application of scintillators in nuclear medicine systems, the
analytical models [9-15] are insufficient in scoring gamma
radiation deposited energy.

  The stochastic processes of radiation transport have been
studied efficiently through Monte Carlo simulation [16-28].
Several general Monte Carlo packages are available (e.g.
TART, PENELOPE, MCNP, GEANT4, GATE, EGSnrcMP) [16,
17, 22, 23, 25].
Introduction ++
  Recent reports have employed general Monte Carlo
packages in studying radiation and optical photon transport in
medical imaging scintillators [26-27].

 The combination however of analytical optical modelling and
simulation of radiation transport with general Monte Carlo
codes has not been attempted for single crystal scintillators.

 In such an attempt, the present study employs a hybrid
semi-empirical method for the estimation of the optical output
of scintillator crystals in terms of Detector-Optical-Gain
(DOG). The method uses specially developed Monte-Carlo
EGSnrc codes for scoring the gamma ray photon and energy
redistribution within certain crystal scintillators.
Introduction +++
 The EGS (Electron–Gamma–Shower) platform is a general
purpose package for the Monte Carlo simulation. The new
enhanced version of EGS is called EGSnrc.

  The outputs of the EGSnrc simulations are utilised as inputs
into a semi-empirical analytical model which predicts DOG.

 Semi-empirical model adjustments are based on scintillator
measurements in the energy range of Nuclear Medicine.

  The model is used for the estimation of the effective optical
photon loss per mm. The latter parameter is employed in the
estimation of an optimum scintillator thickness, between 5mm
and 25mm, per incident gamma ray energy for the
Gd2SiO5:Ce (GSO:Ce), Lu2SiO5:Ce (LSO:Ce) and
YAlO3:Ce (YAP:Ce) scintillators.
Materials & Methods

Modelled scintillators

single crystal blocks

10x10 mm2 entrance area

varying z-thickness

zb equally spaced slabs

140, 364 and 511 keV
Materials & Methods +
Single-crystal scintillator

divided in N layers

 a fraction was absorbed to
each layer

 Optical photons propagate
either in the forward or in
the backward direction

 per crystal layer only a
fraction, hereafter called k,
was propagated to the next
layer
Materials & Methods ++
  Qn(E) is calculated via the EGS4rnc Monte Carlo code. The
absorbed X-ray energy is transformed into optical photon energy in
the scintillator. The number of the produced optical photons in the
nth layer, Ln can be calculated as:

                                              E
                        Ln ( E ) = Qn ( E )nC         (1)
                                              Eλ

where nC is the intrinsic conversion efficiency and Ελ is the optical
photon energy [5], [8]. It is assumed that half of the produced optical
photons are propagating forward and half backwards. To the next layer,
n+1, only a fraction, k, of the produced optical photons arrives. That is:

                          Lnn + 1 ( E ) = Ln ( E )k   (2)
Materials & Methods +++
          The optical photons in Forward direction are calculated as:

                                                                            1
                      Lnf ( E ) = (1 − R) Ln ( E )k              N− n
                                                                                              (3)
                                                                        1− k R
                                                                            2N 2




        The optical photons in Backward direction are calculated as:


                                                                1                                     k 2N R 2
Lm ( E ) = Lnf ( E ) + Lnb ( E ) = (1 − R) Ln ( E )k N − n              + (1 − R) Ln ( E ) Rk n k N
                                                           1 − k 2N R 2                             1 − k 2N R 2

                                                      (4)
Materials & Methods +++
  If all the layers as well as equation (1) are considered then the total number of
optical photons produced per absorbed gamma ray (i.e. DOG) equals to:
               N
                         E            k N− n               k 2N R 2 
DOG ( E ) = ∑ Qn ( E )nC    (1 − R )           + Rk n + N          2 
                                      1− k R              1− k R 
                                           2N 2                 2N
            n= 1         Eλ
where the values of Qn(E) is calculated by EGSnrc.                                    (5)
The value of the reflectance, R, when a light ray propagates from a medium with
index of refraction n1, to a medium of index of refraction n2 (equals to 1 for air),
depends upon the polarization of the incident ray.The total reflectance can be
calculated as      R(θ i ) = Rs (θ i ) + Rp (θ i )   and the mean reflectance used in the
                                                   2
estimation of equation 5 was found as: θ crit
                                            ∑      R (θ )
                                      R=    θ =0

                                               noa
where noa is the number of angles used in the summation and θcrit is the critical
angle above which total reflection occur. In the calculation of R it was assumed
that the input and exit surfaces of the crystal were perfect planes and any
existed surface anomalies [26] were not considered.
Results & Discussion




Qn(E) values for gamma ray energies of 140keV and 364keV for LSO:Ce, GSO:Ce and
YAP:Ce. The curves represent exponential fits at the 99% confidence interval. The errors are
below 0.5%. The legend presents the dimensions of the modeled scintillator block
Results & Discussion +

   Crystal     Energy (keV)      DOG              k            DOG            DOG
                              experimental                  theoretical       k - 1%

   LSO:Ce           140          323±16          0.80           248           227
                    364          644±45                         790           753
   GSO:Ce           140          150±8           0.86           146           133
                    364          275±19                         291           275
   YAP:Ce           140           57±3           0.74           50             48
                    364           95±7                          111           107



Experimental and semi-empirical method predicted DOG values. In the last two columns the
sensitivity of the method in k values is demonstrated
Results & Discussion ++




DOG values for different scintillator total thickness (T) and gamma ray energies of
140keV, 364keV and 512keV for (a) GSO:Ce, (b) LSO:Ce and (c) YAP:Ce
Results & Discussion +++




Predicted DOG values of GSO:Ce, LSO:Ce and YAP:Ce for gamma ray energy of 140keV.
Conclusion
  A semi-empirical theoretical model, describing light transport
in single crystals was developed.

 The model was used in conjunction with a Monte Carlo
generated gamma ray absorption data to describe the
Detector Optical Gain (DOG) of single crystal scintillator
materials excited by gamma rays.

  The model was checked against experimental results and
the fraction of the optical photons propagating through crystal
layers (named k) was determined.

  The model was used to find an optimum crystal thickness
per gamma ray energy application. It was found that the
optimum thickness is a function of the scintillator material and
the gamma ray energy
Thank you!
http://env-hum-comp-res.teipir.gr/
References
[1] O Mineev et al., Scintillator detectors with long WLS fibers and mulit-pixel photodiodes, JINST 6 (2011) P012004.
[2] A. Vandenbroucke et al., Performance characterization of a new high resolution PET scintillation detector, Phys. Med. Biol. 56
(2011) 4135.
[3] B.K. Cha et al., Design and image-quality performance of high resolution CMOS-based X-ray imaging detectors for digital mammography,
JINST 7 (2012) C012004.
[4] A. Nassalski, Comparative study of scintillators for PET/CT detectors, IEEE T. Nucl. Sci. 54 (2007) 3.
[5] M Nikl, Scintillation detectors for X-rays, Meas. Sci. Technol. 17 (2006) R37.
[6] I.G. Valais et al., Luminescence efficiency of Gd2SiO5 : Ce scintillator under X-ray excitation, IEEE T. Nucl. Sci. 52 (2005) 1830.
[7] I.G. Valais et al., Luminescence properties of (Lu;Y)2SiO5 : Ce and Gd2SiO5 : Ce single crystal scintillators under X-ray excitation
for use in medical imaging systems, IEEE T. Nucl. Sci. 54 (2007) 11.
[8]. I.G. Valais, Systematic study of the light emission efficiency and the corresponding intrinsic physical characteristics of single crystal
scintillators, doped with the trivalent cerium (Ce3+) activator, in wide energy range (from 20kV-18MV) for medical applications, Doctorate Thesis,
Patras 2008, http://nemertes.lis.upatras.gr/jspui/bitstream/10889/997/1/Thesis_Valais_sec.pdf
[9] G.E. Giakoumakis et al., Light angular distribution of non-granular fluorescent screens excited by X-rays, Phys. Med. Biol. 30
(1985) 993.
[10] G.E. Giakoumakis et al., Light angular distribution of fluorescent screens excited by X-rays, Phys.Med. Biol. 30 (1985) 21.
[11] G.E. Giakoumakis et al., Absolute efficiency of Gd2O2S:Tb screens under fluoroscopic conditions, Phys. Med. Biol. 34 (1989)
673.
[12] G.E. Giakoumakis et al., Absolute efficiency of rare earth oxysulphide screens in reflection mode observation, Phys. Med. Biol. 35
(1990) 1017.
[13] I. Kandarakis et al., A theoretical model evaluating the angular distribution of luminescence emission in X-ray scintillating screens,
Appl. Radiat. Isotopes 64 (2005) 508.
[14] C. Carrier and R. Lecomte, Theoretical modeling of light transport in rectangular parallelepidedic scintillators, Nucl. Instr. and Meth A 292
(1990) 685.
[15] A. Petropoulou et al., A theoretical model describing the light emission efficiency of single-crystal scintillators in the diagnostic
energy range, JINST 4 (2009) P06016.
[16] www.opengatecollaboration.org
References
[17] S. Jan et al., GATE: a simulation toolkit for PET and SPECT. Phys. Med. Biol. 49 (2004) 4543.
[18] N. Ghazanfari et al., Quantitative assessment of crystal material and size on the performance of rotating dual head small animal
PET scanners using Monte Carlo modeling. Hell J. Nucl. Med. 15 (2012) 33.
[19] P. Gonias et al., Validation of a GATE model for the simulation of the Siemens PET/CT biograph 6 scanner. Nucl. Instr. Meth.
Phys. Res. A 571 (2007) 263.
[20] N Karakatsanis et al., Comparative evaluation of two commercial PET scanners, ECAT EXACT HR+ and Biograph 2, using
GATE. Nucl. Instr. Meth. Phys. Res. A 571 (2006) 368.
[21] YH Chung et al., Optimization of dual layer phoswich detector consisting of LSO and LuYAP for small animal PET. IEEE Trans.
Nucl. Sci. 52 (2005) 217.
[22] D. Nikolopoulos et al., Investigation of radiation absorption and X-ray fluorescence properties of medical imaging scintillators by
Monte Carlo methods, Nucl. Instr. Meth. Phys. Res. A 565 (2006) 821.
[23] D. Nikolopoulos et al., Monte Carlo validation in the diagnostic radiology range, Nucl. Instr. Meth. Phys. Res. A 571 (2007) 267.
[24] B A Faddegon, J Perl and M Asai, Monte Carlo simulation of large electron fields, Phys. Med. Biol, 53 (2008) 1497.
[25] http://irs.inms.nrc.ca/software/egsnrc
[26] D.J. (Jan) van der Laan et al., Optical simulation of monolithic scintillator detectors using GATE/GEANT4, Phys. Med. Biol. 55
(2010) 1659.
[27]´F. Ciocia et al, GEANT4 studies on the propagation and detection of scintillation light in long thin YAP crystals, Nucl. Instr. Meth.
Phys. Res. A 600 (2009) 506.
[28] P.F. Liaparinos et al., Modeling granular phosphor screens by Monte Carlo methods, Med. Phys. 33 (2006) 4502.
[29] C.W.E Van Eijk, Inorganic scintillators in medical imaging Phys. Med. Biol. 47 (2002) R85.
[30] C.W.E.Van Eijk, Radiation detector developments in medical applications: inorganic scintillators in positron emission tomography,
Rad. Prot. Dosim. 129(1-3) (2008) 13.
[31] S. Zelakiewich and J. Shaw, Modeling MTF and DQE for arbitrary scintillator thickness, IEEE Nuclear Science Symposium
Conference Record M11-170 (2006), 2551.
[32] D. Hugh Young, University physics. Extended version with modern physics, 8th, Addison-Wesley Publishing Company Inc., U.S.A.
(1995), ISBN 960-02-1088-8.

More Related Content

What's hot

NITheP WITS node seminar: Dr. H. Cynthia Chiang (University of Kwa-Zulu Natal)
NITheP WITS node seminar: Dr. H. Cynthia Chiang (University of Kwa-Zulu Natal)NITheP WITS node seminar: Dr. H. Cynthia Chiang (University of Kwa-Zulu Natal)
NITheP WITS node seminar: Dr. H. Cynthia Chiang (University of Kwa-Zulu Natal)Rene Kotze
 
Sparsity and Compressed Sensing
Sparsity and Compressed SensingSparsity and Compressed Sensing
Sparsity and Compressed SensingGabriel Peyré
 
Compressed Sensing and Tomography
Compressed Sensing and TomographyCompressed Sensing and Tomography
Compressed Sensing and TomographyGabriel Peyré
 
Signal Processing Course : Compressed Sensing
Signal Processing Course : Compressed SensingSignal Processing Course : Compressed Sensing
Signal Processing Course : Compressed SensingGabriel Peyré
 
Computational Photochemistry
Computational PhotochemistryComputational Photochemistry
Computational Photochemistrywinterschool
 
URS presentation (final)
URS presentation (final)URS presentation (final)
URS presentation (final)sisi hu
 
Approximately a thousand_ultra_difuse_galaxies_in_the_coma_cluster
Approximately a thousand_ultra_difuse_galaxies_in_the_coma_clusterApproximately a thousand_ultra_difuse_galaxies_in_the_coma_cluster
Approximately a thousand_ultra_difuse_galaxies_in_the_coma_clusterSérgio Sacani
 
An introduction of 21cm cosmology
An introduction of 21cm cosmologyAn introduction of 21cm cosmology
An introduction of 21cm cosmologyHayato Shimabukuro
 
An automated and user-friendly optical tweezers for biomolecular investigat...
An automated and user-friendly optical  tweezers for biomolecular  investigat...An automated and user-friendly optical  tweezers for biomolecular  investigat...
An automated and user-friendly optical tweezers for biomolecular investigat...Dr. Pranav Rathi
 
Fractal Kinetics Bruyères-le-Châtel
Fractal Kinetics Bruyères-le-ChâtelFractal Kinetics Bruyères-le-Châtel
Fractal Kinetics Bruyères-le-ChâtelDavid L. Griscom
 
Experimental summary (neutrinos) - Rencontres du Vietnam - - 2017.07
Experimental summary (neutrinos) - Rencontres du Vietnam - - 2017.07  Experimental summary (neutrinos) - Rencontres du Vietnam - - 2017.07
Experimental summary (neutrinos) - Rencontres du Vietnam - - 2017.07 Alan Poon
 
Methods available in WIEN2k for the treatment of exchange and correlation ef...
Methods available in WIEN2k for the treatment  of exchange and correlation ef...Methods available in WIEN2k for the treatment  of exchange and correlation ef...
Methods available in WIEN2k for the treatment of exchange and correlation ef...ABDERRAHMANE REGGAD
 
Sound Source Localization
Sound Source LocalizationSound Source Localization
Sound Source LocalizationMuhammad Imran
 
Axion dark matter and 21cm line signal
Axion dark matter and 21cm line signalAxion dark matter and 21cm line signal
Axion dark matter and 21cm line signalHayato Shimabukuro
 
Noble Metal Free, Visible Light Driven Photocatalysis Using TiO2 Nanotube Arr...
Noble Metal Free, Visible Light Driven Photocatalysis Using TiO2 Nanotube Arr...Noble Metal Free, Visible Light Driven Photocatalysis Using TiO2 Nanotube Arr...
Noble Metal Free, Visible Light Driven Photocatalysis Using TiO2 Nanotube Arr...Pawan Kumar
 
Axion dark matter and 21cm forest
Axion dark matter and 21cm forestAxion dark matter and 21cm forest
Axion dark matter and 21cm forestHayato Shimabukuro
 
Neon and oxygen in stellar coronae - a unification with the Sun
Neon and oxygen in stellar coronae - a unification with the SunNeon and oxygen in stellar coronae - a unification with the Sun
Neon and oxygen in stellar coronae - a unification with the SunAstroAtom
 

What's hot (20)

Colloquium at CCNU
Colloquium at CCNUColloquium at CCNU
Colloquium at CCNU
 
NITheP WITS node seminar: Dr. H. Cynthia Chiang (University of Kwa-Zulu Natal)
NITheP WITS node seminar: Dr. H. Cynthia Chiang (University of Kwa-Zulu Natal)NITheP WITS node seminar: Dr. H. Cynthia Chiang (University of Kwa-Zulu Natal)
NITheP WITS node seminar: Dr. H. Cynthia Chiang (University of Kwa-Zulu Natal)
 
Sparsity and Compressed Sensing
Sparsity and Compressed SensingSparsity and Compressed Sensing
Sparsity and Compressed Sensing
 
Compressed Sensing and Tomography
Compressed Sensing and TomographyCompressed Sensing and Tomography
Compressed Sensing and Tomography
 
Aa16870 11
Aa16870 11Aa16870 11
Aa16870 11
 
Signal Processing Course : Compressed Sensing
Signal Processing Course : Compressed SensingSignal Processing Course : Compressed Sensing
Signal Processing Course : Compressed Sensing
 
Computational Photochemistry
Computational PhotochemistryComputational Photochemistry
Computational Photochemistry
 
URS presentation (final)
URS presentation (final)URS presentation (final)
URS presentation (final)
 
Approximately a thousand_ultra_difuse_galaxies_in_the_coma_cluster
Approximately a thousand_ultra_difuse_galaxies_in_the_coma_clusterApproximately a thousand_ultra_difuse_galaxies_in_the_coma_cluster
Approximately a thousand_ultra_difuse_galaxies_in_the_coma_cluster
 
EXO_DBD07
EXO_DBD07EXO_DBD07
EXO_DBD07
 
An introduction of 21cm cosmology
An introduction of 21cm cosmologyAn introduction of 21cm cosmology
An introduction of 21cm cosmology
 
An automated and user-friendly optical tweezers for biomolecular investigat...
An automated and user-friendly optical  tweezers for biomolecular  investigat...An automated and user-friendly optical  tweezers for biomolecular  investigat...
An automated and user-friendly optical tweezers for biomolecular investigat...
 
Fractal Kinetics Bruyères-le-Châtel
Fractal Kinetics Bruyères-le-ChâtelFractal Kinetics Bruyères-le-Châtel
Fractal Kinetics Bruyères-le-Châtel
 
Experimental summary (neutrinos) - Rencontres du Vietnam - - 2017.07
Experimental summary (neutrinos) - Rencontres du Vietnam - - 2017.07  Experimental summary (neutrinos) - Rencontres du Vietnam - - 2017.07
Experimental summary (neutrinos) - Rencontres du Vietnam - - 2017.07
 
Methods available in WIEN2k for the treatment of exchange and correlation ef...
Methods available in WIEN2k for the treatment  of exchange and correlation ef...Methods available in WIEN2k for the treatment  of exchange and correlation ef...
Methods available in WIEN2k for the treatment of exchange and correlation ef...
 
Sound Source Localization
Sound Source LocalizationSound Source Localization
Sound Source Localization
 
Axion dark matter and 21cm line signal
Axion dark matter and 21cm line signalAxion dark matter and 21cm line signal
Axion dark matter and 21cm line signal
 
Noble Metal Free, Visible Light Driven Photocatalysis Using TiO2 Nanotube Arr...
Noble Metal Free, Visible Light Driven Photocatalysis Using TiO2 Nanotube Arr...Noble Metal Free, Visible Light Driven Photocatalysis Using TiO2 Nanotube Arr...
Noble Metal Free, Visible Light Driven Photocatalysis Using TiO2 Nanotube Arr...
 
Axion dark matter and 21cm forest
Axion dark matter and 21cm forestAxion dark matter and 21cm forest
Axion dark matter and 21cm forest
 
Neon and oxygen in stellar coronae - a unification with the Sun
Neon and oxygen in stellar coronae - a unification with the SunNeon and oxygen in stellar coronae - a unification with the Sun
Neon and oxygen in stellar coronae - a unification with the Sun
 

Similar to Semi-empirical Monte Carlo optical-gain modelling of Nuclear Imaging scintillators

1.crystal structure using x – ray diffraction
1.crystal structure using  x – ray diffraction1.crystal structure using  x – ray diffraction
1.crystal structure using x – ray diffractionNarayan Behera
 
Color Img at Prisma Network meeting 2009
Color Img at Prisma Network meeting 2009Color Img at Prisma Network meeting 2009
Color Img at Prisma Network meeting 2009Juan Luis Nieves
 
The optical constants of highly absorbing films using the spectral reflectanc...
The optical constants of highly absorbing films using the spectral reflectanc...The optical constants of highly absorbing films using the spectral reflectanc...
The optical constants of highly absorbing films using the spectral reflectanc...Alexander Decker
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)ijceronline
 
Lecture 3: Fundamental Limitations of Solar Cells
Lecture 3: Fundamental Limitations of Solar CellsLecture 3: Fundamental Limitations of Solar Cells
Lecture 3: Fundamental Limitations of Solar CellsUniversity of Liverpool
 
Younes Sina's presentation on Nuclear reaction analysis
Younes Sina's presentation on  Nuclear reaction analysisYounes Sina's presentation on  Nuclear reaction analysis
Younes Sina's presentation on Nuclear reaction analysisYounes Sina
 
03-GenXrays-PPT.pdf
03-GenXrays-PPT.pdf03-GenXrays-PPT.pdf
03-GenXrays-PPT.pdfHassanSoboh
 
optics chapter_07_solution_manual
optics chapter_07_solution_manualoptics chapter_07_solution_manual
optics chapter_07_solution_manualstudent
 
Small-angle X-ray Diffraction
Small-angle X-ray Diffraction Small-angle X-ray Diffraction
Small-angle X-ray Diffraction ssuser3eb6b21
 
Characterization of nanoparticles
Characterization of nanoparticlesCharacterization of nanoparticles
Characterization of nanoparticlesupinderpalsingh2
 

Similar to Semi-empirical Monte Carlo optical-gain modelling of Nuclear Imaging scintillators (20)

1.crystal structure using x – ray diffraction
1.crystal structure using  x – ray diffraction1.crystal structure using  x – ray diffraction
1.crystal structure using x – ray diffraction
 
Color Img at Prisma Network meeting 2009
Color Img at Prisma Network meeting 2009Color Img at Prisma Network meeting 2009
Color Img at Prisma Network meeting 2009
 
Wavelength Conversion of a Laser Beam Using a Continuous- Wave Optical Parame...
Wavelength Conversion of a Laser Beam Using a Continuous- Wave Optical Parame...Wavelength Conversion of a Laser Beam Using a Continuous- Wave Optical Parame...
Wavelength Conversion of a Laser Beam Using a Continuous- Wave Optical Parame...
 
Ch34 ssm
Ch34 ssmCh34 ssm
Ch34 ssm
 
The optical constants of highly absorbing films using the spectral reflectanc...
The optical constants of highly absorbing films using the spectral reflectanc...The optical constants of highly absorbing films using the spectral reflectanc...
The optical constants of highly absorbing films using the spectral reflectanc...
 
final_exam
final_examfinal_exam
final_exam
 
Xrd presentation
Xrd presentationXrd presentation
Xrd presentation
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
 
AMR.459.529
AMR.459.529AMR.459.529
AMR.459.529
 
NANO266 - Lecture 7 - QM Modeling of Periodic Structures
NANO266 - Lecture 7 - QM Modeling of Periodic StructuresNANO266 - Lecture 7 - QM Modeling of Periodic Structures
NANO266 - Lecture 7 - QM Modeling of Periodic Structures
 
Chap6 photodetectors
Chap6 photodetectorsChap6 photodetectors
Chap6 photodetectors
 
Lecture 3: Fundamental Limitations of Solar Cells
Lecture 3: Fundamental Limitations of Solar CellsLecture 3: Fundamental Limitations of Solar Cells
Lecture 3: Fundamental Limitations of Solar Cells
 
Younes Sina's presentation on Nuclear reaction analysis
Younes Sina's presentation on  Nuclear reaction analysisYounes Sina's presentation on  Nuclear reaction analysis
Younes Sina's presentation on Nuclear reaction analysis
 
03-GenXrays-PPT.pdf
03-GenXrays-PPT.pdf03-GenXrays-PPT.pdf
03-GenXrays-PPT.pdf
 
Laser lecture 02
Laser lecture 02Laser lecture 02
Laser lecture 02
 
11
1111
11
 
optics chapter_07_solution_manual
optics chapter_07_solution_manualoptics chapter_07_solution_manual
optics chapter_07_solution_manual
 
Nonlinear optics
Nonlinear opticsNonlinear optics
Nonlinear optics
 
Small-angle X-ray Diffraction
Small-angle X-ray Diffraction Small-angle X-ray Diffraction
Small-angle X-ray Diffraction
 
Characterization of nanoparticles
Characterization of nanoparticlesCharacterization of nanoparticles
Characterization of nanoparticles
 

More from Anax Fotopoulos

Tzitzikosta message for the world heritage monuments exhibition
Tzitzikosta message for the world heritage monuments exhibitionTzitzikosta message for the world heritage monuments exhibition
Tzitzikosta message for the world heritage monuments exhibitionAnax Fotopoulos
 
Acropoils & other hellenic world monuments
Acropoils & other hellenic world monumentsAcropoils & other hellenic world monuments
Acropoils & other hellenic world monumentsAnax Fotopoulos
 
Architecture of the human regulatory network derived from encode data
Architecture of the human regulatory network derived from encode dataArchitecture of the human regulatory network derived from encode data
Architecture of the human regulatory network derived from encode dataAnax Fotopoulos
 
From Smart Homes to Smart Cities: An approach based on Internet-of-Things
From Smart Homes to Smart Cities: An approach based on Internet-of-ThingsFrom Smart Homes to Smart Cities: An approach based on Internet-of-Things
From Smart Homes to Smart Cities: An approach based on Internet-of-ThingsAnax Fotopoulos
 
The social aspect of Smart Wearable Systems in the era of Internet-of-Things
The social aspect of Smart Wearable Systems in the era of Internet-of-ThingsThe social aspect of Smart Wearable Systems in the era of Internet-of-Things
The social aspect of Smart Wearable Systems in the era of Internet-of-ThingsAnax Fotopoulos
 
Introduction to HMMER - A biosequence analysis tool with Hidden Markov Models
Introduction to HMMER - A biosequence analysis tool with Hidden Markov Models Introduction to HMMER - A biosequence analysis tool with Hidden Markov Models
Introduction to HMMER - A biosequence analysis tool with Hidden Markov Models Anax Fotopoulos
 
TIS prediction in human cDNAs with high accuracy
TIS prediction in human cDNAs with high accuracyTIS prediction in human cDNAs with high accuracy
TIS prediction in human cDNAs with high accuracyAnax Fotopoulos
 
Wef the future role of civil society report 2013
Wef the future role of civil society report 2013Wef the future role of civil society report 2013
Wef the future role of civil society report 2013Anax Fotopoulos
 
UNESCO’s Division for Freedom of Expression, Democracy and Peace Report
UNESCO’s Division for Freedom of  Expression, Democracy and Peace ReportUNESCO’s Division for Freedom of  Expression, Democracy and Peace Report
UNESCO’s Division for Freedom of Expression, Democracy and Peace ReportAnax Fotopoulos
 
Europa Nostra Athens Congress - Registration fees
Europa Nostra Athens Congress - Registration feesEuropa Nostra Athens Congress - Registration fees
Europa Nostra Athens Congress - Registration feesAnax Fotopoulos
 
Europa Nostra Congress Athens 2013 - Programme
Europa Nostra Congress Athens 2013 - ProgrammeEuropa Nostra Congress Athens 2013 - Programme
Europa Nostra Congress Athens 2013 - ProgrammeAnax Fotopoulos
 
A new approach in specifying the inverse quadratic matrix in modulo-2 for con...
A new approach in specifying the inverse quadratic matrix in modulo-2 for con...A new approach in specifying the inverse quadratic matrix in modulo-2 for con...
A new approach in specifying the inverse quadratic matrix in modulo-2 for con...Anax Fotopoulos
 
Συστήματα ανίχνευσης εισβολών με νευρωνικά δίκτυα
Συστήματα ανίχνευσης εισβολών με νευρωνικά δίκτυαΣυστήματα ανίχνευσης εισβολών με νευρωνικά δίκτυα
Συστήματα ανίχνευσης εισβολών με νευρωνικά δίκτυαAnax Fotopoulos
 
Introduction to Tempus Programme (5th Call)
Introduction to Tempus Programme (5th Call)Introduction to Tempus Programme (5th Call)
Introduction to Tempus Programme (5th Call)Anax Fotopoulos
 
TEI Piraeus IEEE Student Branch Actions 2011-2012
TEI Piraeus IEEE Student Branch  Actions 2011-2012 TEI Piraeus IEEE Student Branch  Actions 2011-2012
TEI Piraeus IEEE Student Branch Actions 2011-2012 Anax Fotopoulos
 
Η ΣΚΟΤΕΙΝΗ ΠΛΕΥΡΑ ΤΟΥ ΔΙΑΔΙΚΤΥΟΥ - ΠΑΡΟΥΣΙΑΣΗ ΤΩΝ ΠΡΟΒΛΗΜΑΤΩΝ & ΤΩΝ ΜΕΤΡΩΝ Π...
Η ΣΚΟΤΕΙΝΗ ΠΛΕΥΡΑ ΤΟΥ ΔΙΑΔΙΚΤΥΟΥ - ΠΑΡΟΥΣΙΑΣΗ ΤΩΝ ΠΡΟΒΛΗΜΑΤΩΝ &  ΤΩΝ ΜΕΤΡΩΝ Π...Η ΣΚΟΤΕΙΝΗ ΠΛΕΥΡΑ ΤΟΥ ΔΙΑΔΙΚΤΥΟΥ - ΠΑΡΟΥΣΙΑΣΗ ΤΩΝ ΠΡΟΒΛΗΜΑΤΩΝ &  ΤΩΝ ΜΕΤΡΩΝ Π...
Η ΣΚΟΤΕΙΝΗ ΠΛΕΥΡΑ ΤΟΥ ΔΙΑΔΙΚΤΥΟΥ - ΠΑΡΟΥΣΙΑΣΗ ΤΩΝ ΠΡΟΒΛΗΜΑΤΩΝ & ΤΩΝ ΜΕΤΡΩΝ Π...Anax Fotopoulos
 
Measuring the EMF of various widely used electronic devices and their possibl...
Measuring the EMF of various widely used electronic devices and their possibl...Measuring the EMF of various widely used electronic devices and their possibl...
Measuring the EMF of various widely used electronic devices and their possibl...Anax Fotopoulos
 

More from Anax Fotopoulos (20)

AFMM Manual
AFMM ManualAFMM Manual
AFMM Manual
 
Tzitzikosta message for the world heritage monuments exhibition
Tzitzikosta message for the world heritage monuments exhibitionTzitzikosta message for the world heritage monuments exhibition
Tzitzikosta message for the world heritage monuments exhibition
 
Acropoils & other hellenic world monuments
Acropoils & other hellenic world monumentsAcropoils & other hellenic world monuments
Acropoils & other hellenic world monuments
 
Architecture of the human regulatory network derived from encode data
Architecture of the human regulatory network derived from encode dataArchitecture of the human regulatory network derived from encode data
Architecture of the human regulatory network derived from encode data
 
Ret protooncogene
Ret protooncogeneRet protooncogene
Ret protooncogene
 
From Smart Homes to Smart Cities: An approach based on Internet-of-Things
From Smart Homes to Smart Cities: An approach based on Internet-of-ThingsFrom Smart Homes to Smart Cities: An approach based on Internet-of-Things
From Smart Homes to Smart Cities: An approach based on Internet-of-Things
 
The social aspect of Smart Wearable Systems in the era of Internet-of-Things
The social aspect of Smart Wearable Systems in the era of Internet-of-ThingsThe social aspect of Smart Wearable Systems in the era of Internet-of-Things
The social aspect of Smart Wearable Systems in the era of Internet-of-Things
 
Introduction to HMMER - A biosequence analysis tool with Hidden Markov Models
Introduction to HMMER - A biosequence analysis tool with Hidden Markov Models Introduction to HMMER - A biosequence analysis tool with Hidden Markov Models
Introduction to HMMER - A biosequence analysis tool with Hidden Markov Models
 
TIS prediction in human cDNAs with high accuracy
TIS prediction in human cDNAs with high accuracyTIS prediction in human cDNAs with high accuracy
TIS prediction in human cDNAs with high accuracy
 
Wef the future role of civil society report 2013
Wef the future role of civil society report 2013Wef the future role of civil society report 2013
Wef the future role of civil society report 2013
 
UNESCO’s Division for Freedom of Expression, Democracy and Peace Report
UNESCO’s Division for Freedom of  Expression, Democracy and Peace ReportUNESCO’s Division for Freedom of  Expression, Democracy and Peace Report
UNESCO’s Division for Freedom of Expression, Democracy and Peace Report
 
Europa Nostra Athens Congress - Registration fees
Europa Nostra Athens Congress - Registration feesEuropa Nostra Athens Congress - Registration fees
Europa Nostra Athens Congress - Registration fees
 
Europa Nostra Congress Athens 2013 - Programme
Europa Nostra Congress Athens 2013 - ProgrammeEuropa Nostra Congress Athens 2013 - Programme
Europa Nostra Congress Athens 2013 - Programme
 
RMCEF
RMCEFRMCEF
RMCEF
 
A new approach in specifying the inverse quadratic matrix in modulo-2 for con...
A new approach in specifying the inverse quadratic matrix in modulo-2 for con...A new approach in specifying the inverse quadratic matrix in modulo-2 for con...
A new approach in specifying the inverse quadratic matrix in modulo-2 for con...
 
Συστήματα ανίχνευσης εισβολών με νευρωνικά δίκτυα
Συστήματα ανίχνευσης εισβολών με νευρωνικά δίκτυαΣυστήματα ανίχνευσης εισβολών με νευρωνικά δίκτυα
Συστήματα ανίχνευσης εισβολών με νευρωνικά δίκτυα
 
Introduction to Tempus Programme (5th Call)
Introduction to Tempus Programme (5th Call)Introduction to Tempus Programme (5th Call)
Introduction to Tempus Programme (5th Call)
 
TEI Piraeus IEEE Student Branch Actions 2011-2012
TEI Piraeus IEEE Student Branch  Actions 2011-2012 TEI Piraeus IEEE Student Branch  Actions 2011-2012
TEI Piraeus IEEE Student Branch Actions 2011-2012
 
Η ΣΚΟΤΕΙΝΗ ΠΛΕΥΡΑ ΤΟΥ ΔΙΑΔΙΚΤΥΟΥ - ΠΑΡΟΥΣΙΑΣΗ ΤΩΝ ΠΡΟΒΛΗΜΑΤΩΝ & ΤΩΝ ΜΕΤΡΩΝ Π...
Η ΣΚΟΤΕΙΝΗ ΠΛΕΥΡΑ ΤΟΥ ΔΙΑΔΙΚΤΥΟΥ - ΠΑΡΟΥΣΙΑΣΗ ΤΩΝ ΠΡΟΒΛΗΜΑΤΩΝ &  ΤΩΝ ΜΕΤΡΩΝ Π...Η ΣΚΟΤΕΙΝΗ ΠΛΕΥΡΑ ΤΟΥ ΔΙΑΔΙΚΤΥΟΥ - ΠΑΡΟΥΣΙΑΣΗ ΤΩΝ ΠΡΟΒΛΗΜΑΤΩΝ &  ΤΩΝ ΜΕΤΡΩΝ Π...
Η ΣΚΟΤΕΙΝΗ ΠΛΕΥΡΑ ΤΟΥ ΔΙΑΔΙΚΤΥΟΥ - ΠΑΡΟΥΣΙΑΣΗ ΤΩΝ ΠΡΟΒΛΗΜΑΤΩΝ & ΤΩΝ ΜΕΤΡΩΝ Π...
 
Measuring the EMF of various widely used electronic devices and their possibl...
Measuring the EMF of various widely used electronic devices and their possibl...Measuring the EMF of various widely used electronic devices and their possibl...
Measuring the EMF of various widely used electronic devices and their possibl...
 

Recently uploaded

A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 

Recently uploaded (20)

A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 

Semi-empirical Monte Carlo optical-gain modelling of Nuclear Imaging scintillators

  • 1. Semi-empirical Monte Carlo optical-gain modelling of Nuclear Imaging scintillators E. M. Vlamakis, X. A. Argyriou, T. J. Sevvos, A. A. Fotopoulos, N. N. Chatzisavvas, P. H. Yannakopoulos, N. Kalyvas, I. Valais, I. Kandarakis, D. Nikolopoulos
  • 2. Aim Develop a theoretical model of the optical gain of single- crystal scintillators, via Monte Carlo methods. Compare theoretical results to experimental data for photon energies of 140keV and 364keV. The presented results could be useful in designing nuclear medicine imaging systems.
  • 3. Introduction Scintillation detector applications Conventional and digital x-ray radiography, x-ray computed tomography, single-photon emission tomography (SPECT) positron emission tomography (PET)
  • 4. Introduction + The emission of light of granular and non-granular scintillators has been investigated through analytical modelling [9-14]. These models take into account scintillator thickness as the main influencing parameter, while the other dimensions (e.g area or lateral thickness) are assumed to be infinite. For the application of scintillators in nuclear medicine systems, the analytical models [9-15] are insufficient in scoring gamma radiation deposited energy. The stochastic processes of radiation transport have been studied efficiently through Monte Carlo simulation [16-28]. Several general Monte Carlo packages are available (e.g. TART, PENELOPE, MCNP, GEANT4, GATE, EGSnrcMP) [16, 17, 22, 23, 25].
  • 5. Introduction ++ Recent reports have employed general Monte Carlo packages in studying radiation and optical photon transport in medical imaging scintillators [26-27]. The combination however of analytical optical modelling and simulation of radiation transport with general Monte Carlo codes has not been attempted for single crystal scintillators. In such an attempt, the present study employs a hybrid semi-empirical method for the estimation of the optical output of scintillator crystals in terms of Detector-Optical-Gain (DOG). The method uses specially developed Monte-Carlo EGSnrc codes for scoring the gamma ray photon and energy redistribution within certain crystal scintillators.
  • 6. Introduction +++ The EGS (Electron–Gamma–Shower) platform is a general purpose package for the Monte Carlo simulation. The new enhanced version of EGS is called EGSnrc. The outputs of the EGSnrc simulations are utilised as inputs into a semi-empirical analytical model which predicts DOG. Semi-empirical model adjustments are based on scintillator measurements in the energy range of Nuclear Medicine. The model is used for the estimation of the effective optical photon loss per mm. The latter parameter is employed in the estimation of an optimum scintillator thickness, between 5mm and 25mm, per incident gamma ray energy for the Gd2SiO5:Ce (GSO:Ce), Lu2SiO5:Ce (LSO:Ce) and YAlO3:Ce (YAP:Ce) scintillators.
  • 7. Materials & Methods Modelled scintillators single crystal blocks 10x10 mm2 entrance area varying z-thickness zb equally spaced slabs 140, 364 and 511 keV
  • 8. Materials & Methods + Single-crystal scintillator divided in N layers a fraction was absorbed to each layer Optical photons propagate either in the forward or in the backward direction per crystal layer only a fraction, hereafter called k, was propagated to the next layer
  • 9. Materials & Methods ++ Qn(E) is calculated via the EGS4rnc Monte Carlo code. The absorbed X-ray energy is transformed into optical photon energy in the scintillator. The number of the produced optical photons in the nth layer, Ln can be calculated as: E Ln ( E ) = Qn ( E )nC (1) Eλ where nC is the intrinsic conversion efficiency and Ελ is the optical photon energy [5], [8]. It is assumed that half of the produced optical photons are propagating forward and half backwards. To the next layer, n+1, only a fraction, k, of the produced optical photons arrives. That is: Lnn + 1 ( E ) = Ln ( E )k (2)
  • 10. Materials & Methods +++ The optical photons in Forward direction are calculated as: 1 Lnf ( E ) = (1 − R) Ln ( E )k N− n (3) 1− k R 2N 2 The optical photons in Backward direction are calculated as: 1 k 2N R 2 Lm ( E ) = Lnf ( E ) + Lnb ( E ) = (1 − R) Ln ( E )k N − n + (1 − R) Ln ( E ) Rk n k N 1 − k 2N R 2 1 − k 2N R 2 (4)
  • 11. Materials & Methods +++ If all the layers as well as equation (1) are considered then the total number of optical photons produced per absorbed gamma ray (i.e. DOG) equals to: N E  k N− n k 2N R 2  DOG ( E ) = ∑ Qn ( E )nC (1 − R )  + Rk n + N 2   1− k R 1− k R  2N 2 2N n= 1 Eλ where the values of Qn(E) is calculated by EGSnrc. (5) The value of the reflectance, R, when a light ray propagates from a medium with index of refraction n1, to a medium of index of refraction n2 (equals to 1 for air), depends upon the polarization of the incident ray.The total reflectance can be calculated as R(θ i ) = Rs (θ i ) + Rp (θ i ) and the mean reflectance used in the 2 estimation of equation 5 was found as: θ crit ∑ R (θ ) R= θ =0 noa where noa is the number of angles used in the summation and θcrit is the critical angle above which total reflection occur. In the calculation of R it was assumed that the input and exit surfaces of the crystal were perfect planes and any existed surface anomalies [26] were not considered.
  • 12. Results & Discussion Qn(E) values for gamma ray energies of 140keV and 364keV for LSO:Ce, GSO:Ce and YAP:Ce. The curves represent exponential fits at the 99% confidence interval. The errors are below 0.5%. The legend presents the dimensions of the modeled scintillator block
  • 13. Results & Discussion + Crystal Energy (keV) DOG k DOG DOG experimental theoretical k - 1% LSO:Ce 140 323±16 0.80 248 227 364 644±45 790 753 GSO:Ce 140 150±8 0.86 146 133 364 275±19 291 275 YAP:Ce 140 57±3 0.74 50 48 364 95±7 111 107 Experimental and semi-empirical method predicted DOG values. In the last two columns the sensitivity of the method in k values is demonstrated
  • 14. Results & Discussion ++ DOG values for different scintillator total thickness (T) and gamma ray energies of 140keV, 364keV and 512keV for (a) GSO:Ce, (b) LSO:Ce and (c) YAP:Ce
  • 15. Results & Discussion +++ Predicted DOG values of GSO:Ce, LSO:Ce and YAP:Ce for gamma ray energy of 140keV.
  • 16. Conclusion A semi-empirical theoretical model, describing light transport in single crystals was developed. The model was used in conjunction with a Monte Carlo generated gamma ray absorption data to describe the Detector Optical Gain (DOG) of single crystal scintillator materials excited by gamma rays. The model was checked against experimental results and the fraction of the optical photons propagating through crystal layers (named k) was determined. The model was used to find an optimum crystal thickness per gamma ray energy application. It was found that the optimum thickness is a function of the scintillator material and the gamma ray energy
  • 18. References [1] O Mineev et al., Scintillator detectors with long WLS fibers and mulit-pixel photodiodes, JINST 6 (2011) P012004. [2] A. Vandenbroucke et al., Performance characterization of a new high resolution PET scintillation detector, Phys. Med. Biol. 56 (2011) 4135. [3] B.K. Cha et al., Design and image-quality performance of high resolution CMOS-based X-ray imaging detectors for digital mammography, JINST 7 (2012) C012004. [4] A. Nassalski, Comparative study of scintillators for PET/CT detectors, IEEE T. Nucl. Sci. 54 (2007) 3. [5] M Nikl, Scintillation detectors for X-rays, Meas. Sci. Technol. 17 (2006) R37. [6] I.G. Valais et al., Luminescence efficiency of Gd2SiO5 : Ce scintillator under X-ray excitation, IEEE T. Nucl. Sci. 52 (2005) 1830. [7] I.G. Valais et al., Luminescence properties of (Lu;Y)2SiO5 : Ce and Gd2SiO5 : Ce single crystal scintillators under X-ray excitation for use in medical imaging systems, IEEE T. Nucl. Sci. 54 (2007) 11. [8]. I.G. Valais, Systematic study of the light emission efficiency and the corresponding intrinsic physical characteristics of single crystal scintillators, doped with the trivalent cerium (Ce3+) activator, in wide energy range (from 20kV-18MV) for medical applications, Doctorate Thesis, Patras 2008, http://nemertes.lis.upatras.gr/jspui/bitstream/10889/997/1/Thesis_Valais_sec.pdf [9] G.E. Giakoumakis et al., Light angular distribution of non-granular fluorescent screens excited by X-rays, Phys. Med. Biol. 30 (1985) 993. [10] G.E. Giakoumakis et al., Light angular distribution of fluorescent screens excited by X-rays, Phys.Med. Biol. 30 (1985) 21. [11] G.E. Giakoumakis et al., Absolute efficiency of Gd2O2S:Tb screens under fluoroscopic conditions, Phys. Med. Biol. 34 (1989) 673. [12] G.E. Giakoumakis et al., Absolute efficiency of rare earth oxysulphide screens in reflection mode observation, Phys. Med. Biol. 35 (1990) 1017. [13] I. Kandarakis et al., A theoretical model evaluating the angular distribution of luminescence emission in X-ray scintillating screens, Appl. Radiat. Isotopes 64 (2005) 508. [14] C. Carrier and R. Lecomte, Theoretical modeling of light transport in rectangular parallelepidedic scintillators, Nucl. Instr. and Meth A 292 (1990) 685. [15] A. Petropoulou et al., A theoretical model describing the light emission efficiency of single-crystal scintillators in the diagnostic energy range, JINST 4 (2009) P06016. [16] www.opengatecollaboration.org
  • 19. References [17] S. Jan et al., GATE: a simulation toolkit for PET and SPECT. Phys. Med. Biol. 49 (2004) 4543. [18] N. Ghazanfari et al., Quantitative assessment of crystal material and size on the performance of rotating dual head small animal PET scanners using Monte Carlo modeling. Hell J. Nucl. Med. 15 (2012) 33. [19] P. Gonias et al., Validation of a GATE model for the simulation of the Siemens PET/CT biograph 6 scanner. Nucl. Instr. Meth. Phys. Res. A 571 (2007) 263. [20] N Karakatsanis et al., Comparative evaluation of two commercial PET scanners, ECAT EXACT HR+ and Biograph 2, using GATE. Nucl. Instr. Meth. Phys. Res. A 571 (2006) 368. [21] YH Chung et al., Optimization of dual layer phoswich detector consisting of LSO and LuYAP for small animal PET. IEEE Trans. Nucl. Sci. 52 (2005) 217. [22] D. Nikolopoulos et al., Investigation of radiation absorption and X-ray fluorescence properties of medical imaging scintillators by Monte Carlo methods, Nucl. Instr. Meth. Phys. Res. A 565 (2006) 821. [23] D. Nikolopoulos et al., Monte Carlo validation in the diagnostic radiology range, Nucl. Instr. Meth. Phys. Res. A 571 (2007) 267. [24] B A Faddegon, J Perl and M Asai, Monte Carlo simulation of large electron fields, Phys. Med. Biol, 53 (2008) 1497. [25] http://irs.inms.nrc.ca/software/egsnrc [26] D.J. (Jan) van der Laan et al., Optical simulation of monolithic scintillator detectors using GATE/GEANT4, Phys. Med. Biol. 55 (2010) 1659. [27]´F. Ciocia et al, GEANT4 studies on the propagation and detection of scintillation light in long thin YAP crystals, Nucl. Instr. Meth. Phys. Res. A 600 (2009) 506. [28] P.F. Liaparinos et al., Modeling granular phosphor screens by Monte Carlo methods, Med. Phys. 33 (2006) 4502. [29] C.W.E Van Eijk, Inorganic scintillators in medical imaging Phys. Med. Biol. 47 (2002) R85. [30] C.W.E.Van Eijk, Radiation detector developments in medical applications: inorganic scintillators in positron emission tomography, Rad. Prot. Dosim. 129(1-3) (2008) 13. [31] S. Zelakiewich and J. Shaw, Modeling MTF and DQE for arbitrary scintillator thickness, IEEE Nuclear Science Symposium Conference Record M11-170 (2006), 2551. [32] D. Hugh Young, University physics. Extended version with modern physics, 8th, Addison-Wesley Publishing Company Inc., U.S.A. (1995), ISBN 960-02-1088-8.