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References
Andreo A., Monte Carlo techniques in medical radiation physics. Phys Med Biol 36: 861–920 (1991).
Zaidi H., Relevance of accurate Monte Carlo modeling in nuclear medical imaging. Med Phys 26: 574–608 (1999).
Ljungberg M., Strand, S.-E. and King, M. A., Monte Carlo calculations in nuclear medicine: Applications in diagnostic imaging, IOP Publishing, Bristol, (1998).
Zaidi H. and Sgouros, G., Therapeutic applications of Monte Carlo calculations in nuclear medicine, Institute of Physics Publishing, Bristol, (2002).
Zaidi H., “Monte Carlo techniques in diagnostic and therapeutic nuclear medicine” Proc. of the International Symposium on Standards and Codes of Practice in Medical Radiation Dosimetry. ISBN 92-0-111403-6, Vienna (Austria), 25–28 November 2002, Vol. 868; pp 29–44 (2002).
Schulz A. G., Knowles, L. G., Kohlenstein, L. C. et al., Quantitative assessment of scanning-system parameters. J Nucl Med 11: 61–68 (1970).
Dye R. E. A., Simulation of clinical scintigrams for nuclear medicine imaging devices. Phys Med Biol 33: 1329–1334 (1988).
Gantet P., Esquerre, J. P., Danet, B. et al., A simulation method for studying scintillation camera collimators. Phys Med Biol 35: 659–669 (1990).
Beekman F. J. and Viergever, M. A., Fast SPECT simulation including object shape dependent scatter. IEEE Trans Med Imaging 14: 271–282 (1995).
Fleming J. S., Evaluation of a technique for simulation of gamma camera images. Phys Med Biol 41: 1855–1861 (1996).
Nelson W. R., Hirayama, H. and Rogers, D. W. O., The EGS4 code system. Stanford Linear Accelerator Center; Report SLAC-256, 1985.
Kawrakow I., Mainegra-Hing, E. and Rogers, D. W. O., The EGSnrc Code System: Monte Carlo Simulation of Electron and Photon Transport Ionizing Radiation Standards, National Research Council of Canada; 2003.
Del Guerra A. and Nelson, W. R., “Positron emission tomography applications of EGS” in: Monte Carlo transport of electrons and photons, edited by Nelson W. R. and Rindi A. Jenkins T M Plenum Publishing Corporation, New York, (1988), pp 469–484.
Bollini D., Del Guerra, A., Di Domenico, G. et al., Sub-millimeter planar imaging with positron emitters: EGS4 code simulation and experimental results. IEEE Trans Nucl Sci 44: 1499–1502 (1997).
Castiglioni I., Cremonesi, O., Gilardi, M. C. et al., Scatter correction techniques in 3D PET: a Monte Carlo evaluation. IEEE Trans Nucl Sci 46: 2053–2058 (1999).
Castiglioni I., Cremonesi, O., Gilardi, M.-C. et al., A Monte Carlo model of noise components in 3D PET. IEEE Trans Nucl Sci 49: 2297–2303 (2002).
Adam L. E., Karp, J. S. and Brix, G., Investigation of scattered radiation in 3D whole-body positron emission tomography using Monte Carlo simulations. Phys Med Biol 44: 2879–2895 (1999).
Adam L. E., Karp, J. S. and Freifelder, R., Energy-based scatter correction for 3-D PET scanners using NaI(T1) detectors. IEEE Trans Med Imaging 19: 513–521 (2000).
Narita Y., Eberl, S., Iida, H. et al., Monte Carlo and experimental evaluation of accuracy and noise properties of two scatter correction methods for SPECT. Phys Med Biol 41: 2481–2496 (1996).
Narita Y., Iida, H., Eberl, S. et al., Monte Carlo evaluation of accuracy and noise properties of two scatter correction methods for 201Tl cardiac SPECT. IEEE Trans Nucl Sci 44: 2465–2472 (1997).
Motta A., Righi, S., Guerra, A. D. et al., A full Monte Carlo simulation of the YAP-PEM prototype for breast tumor detection. Nucl Instr Meth A 527: 201–205 (2004).
Conti M., Casey, M. E., Eriksson, L. et al., Benchmarking a Monte Carlo simulation code on a prototype LSO scanner. IEEE Trans Nucl Sci 49: 644–648 (2002).
Halbleib J. A., Kensek, R. P., Valdez, G. D. et al., ITS: The Integrated TIGER Series of electron/photon transport codes-version 3.0. IEEE Trans Nucl Sci 39: 1025–1030 (1992).
Briesmeister J. F., MCNP-A general Monte Carlo N-particle transport code. version 4C. Los Alamos National Laboratory, NM; Report LA-13709-M, 2000.
Hendricks J. S., McKinney, G. W., Waters, L. S. et al., MCNPX, VERSION 2.5.e. Los Alamos National Laboratory, NM; Report LA-UR-04-0569, 2004.
Yanch J. C., Dobrzeniecki, A. B., Ramanathan, C. et al., Physically realistic Monte Carlo simulation of source, collimator and tomographic data acquisition for emission computed tomography. Phys Med Biol 37: 853–870 (1992).
Yanch J. C. and Dobrzeniecki, A. B., Monte Carlo simulation in SPECT: Complete 3-D modeling of source, collimator and tomographic data acquisition. IEEE Trans Nucl Sci 40: 198–203 (1993).
Du Y., Frey, E. C., Wang, W. T. et al., Combination of MCNP and SimSET for Monte Carlo simulation of SPECT with medium-and high-energy photons. IEEE Trans Nucl Sci 49: 668–674 (2002).
Song T. Y., Choi, Y., Chung, Y. H. et al., Optimization of pinhole collimator for small animal SPECT using Monte Carlo simulation. IEEE Trans Nucl Sci 50: 327–332 (2003).
Brun R., Bruyant, F., Maire, M. et al., GEANT detector description and simulation tool. CERN; Report DD/EE/84-1, 1994.
Agostinelli S., Allison, J., Amako, K. et al., GEANT4-a simulation toolkit. Nucl Instrum Methods A 506: 250–303 (2003).
Michel C., Bol, A., Spinks, T. et al., Assessment of response function in two PET scanners with and without interplane septa. IEEE Trans Med Imaging 10: 240–248 (1991).
Wegmann K., Adam, L.-E., Livieratos, L. et al., Investigation of the scatter contribution in single photon transmission measurements by means of Monte Carlo simulations. IEEE Trans Nucl Sci 46: 1184–1190 (1999).
Jan S., Santin, G., Strul, D. et al., GATE: a simulation toolkit for PET and SPECT. Phys Med Biol 49: 4543–4561 (2004).
Sempau J., Acosta, E., Baro, J. et al., An algorithm for Monte Carlo simulation of the coupled electron-photon transport. Nucl Instr Meth B 132: 377–390 (1997).
Salvat F., Fernandez-Varea, J., Costa, E. et al., PENELOPE-A Code System for Monte Carlo Simulation of Electron and Photon Transport, Workshop Proceedings, Issy-les-Moulineaux, France, 5–7 November 2001.
Cot A., Sempau, J., Pareto, D. et al., Evaluation of the geometric, scatter, and septal penetration components in fan-beam collimators using Monte Carlo simulation. IEEE Trans Nucl Sci 49: 12–16 (2002).
Cot A., Sempau, J., Pareto, D. et al., Study of the point spread function (PSF) for 123I SPECT imaging using Monte Carlo simulation. Phys Med Biol 49: 3125–3136 (2004).
Sanchez-Crespo A., Andreo, P. and Larsson, S. A., Positron flight in human tissues and its influence on PET image spatial resolution. Eur J Nucl Med Mol Imaging 31: 44–51 (2004).
Fasso A., Ferrari, A. and Sala, P. R., “Electron-photon transport in FLUKA: status” in: Proceedings of the Monte Carlo 2000 Conference, edited by A Kling, Barao, F, Nakagawa, M, Tavora, L, Vaz, P Springer-Verlag, Berlin, (2001), pp 159–164.
Parodi K. and Enghardt, W., Potential application of PET in quality assurance of proton therapy. Phys Med Biol 45: N151–56 (2000).
Tanner R. J., Chartier, J.-L., Siebert, B. R. L. et al., Intercomparison on the usage of computational codes in radiation dosimetry. Radiat Prot Dosimetry 110: 769–780 (2004).
Zaidi H., Comparative evaluation of photon cross section libraries for materials of interest in PET Monte Carlo simulations. IEEE Trans Nucl Sci 47: 2722–2735 (2000).
Dresser M. M. and Knoll, G. F., Results of scattering in radioisotope imaging. IEEE Trans Nucl Sci 20: 266–272 (1973).
Beck J. W., Jaszczak, R. J., Coleman, R. E. et al., Analyzing SPECT including scatter and attenuation using sophisticated Monte Carlo modeling methods. IEEE Trans Nucl Sci 29: (1982).
Floyd C. E., Jaszczak, R. J., Greer, K. L. et al., Inverse Monte Carlo as a unified reconstruction algorithm for ECT. J Nucl Med 27: 1577–1585 (1986).
Keller N. A. and Lupton, J. R., PET detector ring aperture function calculations using Monte Carlo techniques. IEEE Trans Nucl Sci 30: 676–680 (1983).
Lupton L. R. and Keller, N. A., Performance study of single-slice positron emission tomography scanners by Monte Carlo techniques. IEEE Trans Med Imaging 2: 154–168 (1983).
Zaidi H., Scheurer, A. H. and Morel, C., An object-oriented Monte Carlo simulator for 3D cylindrical positron tomographs. Comput Methods Programs Biomed 58: 133–145 (1999).
Zaidi H., Labbé, C. and Morel, C., Implementation of an environment for Monte Carlo simulation of fully 3D positron tomography on a high-performance parallel platform. Parallel Comput. 24: 1523–1536 (1998).
Harrison R. L., Vannoy, S. D., Haynor, D. R. et al., “Preliminary experience with the photon history generator module for a public-domain simulation system for emission tomography” 1999 Records of IEEE Nuclear Science Symposium and Medical Imaging Conference, San Francisco, pp 1154–1158 (1993).
Lewellen T., Harrison, R. L. and Vannoy, S., “The SIMSET program” in: Monte Carlo calculations in nuclear medicine: Applications in diagnostic imaging, edited by M Ljungberg, S-E Strand, and M A King Institute of Physics Publishing, Bristol, (1998), pp 77–92.
Ljungberg M. and Strand, S.-E., A Monte Carlo program for the simulation of scintillation camera characteristics. Comput Methods Programs Biomed 29: 257–272 (1989).
Ljungberg M., “The SIMIND Monte Carlo program” in: Monte Carlo calculations in nuclear medicine: Applications in diagnostic imaging, edited by M Ljungberg, S-E Strand, and M A King Institute of Physics Publishing, Bristol, (1998), pp 145–163.
De Vries D. J., Moore, S. C., Zimmerman, R. E. et al., Development and validation of a Monte Carlo simulation of photon transport in an Anger camera. EEE Trans Med Imaging 9: 430–438 (1990).
de Vries D. and Moore, S., “Monte Carlo simulation of photon transport in gamma camera collimators” in: Monte Carlo calculations in nuclear medicine: Applications in diagnostic imaging, edited by M Ljungberg, S-E Strand, and M A King Institute of Physics Publishing, Bristol, (1998), pp 125–144.
Smith M. F., Floyd, C. E. and Jaszczak, R. J., A vectorized Monte Carlo code for modeling photon transport in SPECT. Med Phys 20: 1121–1127 (1993).
Smith M. F., “Vectorized Monte Carlo code for modelling photon transport in nuclear medicine” in: Monte Carlo calculations in nuclear medicine: Applications in diagnostic imaging, edited by M Ljungberg, S-E Strand, and M A King Institute of Physics Publishing, Bristol, (1998), pp 93–109.
Thompson C. J., Cantu, J.-M. and Picard, Y., PETSIM: Monte Carlo program simulation of all sensitivity and resolution parameters of cylindrical positron imaging systems. Phys Med Biol 37: 731–749 (1992).
Thompson C. and Picard, Y., “PETSIM: Monte Carlo simulation of positron imaging systems” in: Monte Carlo calculations in nuclear medicine: Applications in diagnostic imaging, edited by M Ljungberg, S-E Strand, and M A King Institute of Physics Publishing, Bristol, (1998), pp 233–248.
Reilhac A., Lartizien, C., Costes, N. et al., PET-SORTEO: a Monte Carlo-based simulator with high count rate capabilities. IEEE Trans Nucl Sci 51: 46–52 (2004).
Buvat I. and Castiglioni, I., Monte Carlo simulations in SPET and PET. Q J Nucl Med 46: 48–61 (2002).
Ponisch F., Parodi, K., Hasch, B. G. et al., The modelling of positron emitter production and PET imaging during carbon ion therapy. Phys Med Biol 49: 5217–5232 (2004).
Zerby C. D., “A Monte Carlo calculation of the response of gamma-ray scintillation Counters” in: Methods in Computational Physics, edited by Fermbach S Alder B, Rotenberg M New York Academic, (1963), pp 89–134.
Derenzo S. E., Monte Carlo calculations of the detection efficiency of NaI(Tl), BGO, CsF, Ge and plastic detectors for 511 keV photons. IEEE Trans Nucl Sci 28: 131–136 (1981).
Derenzo S. E. and Riles, J. K., Monte Carlo calculations of the optical coupling between bismuth germanate crystals and photomultiplier tubes. IEEE Trans Nucl Sci 29: 191–195 (1982).
Bottigli U., Guzzardi, R., Mey, M. et al., Monte Carlo simulation and experimental tests on BGO, CsF and NaI(Tl) crystals for positron emission tomography. J Nucl Med Allied Sci 29: 221–227 (1985).
Bice A. N., Lewellen, T. K., Miyaoka, R. S. et al., Monte Carlo simulation of BaF2 detectors used in time-of-flight positron emission tomography. IEEE Trans Nucl Sci 37: 696–701 (1990).
Lopes M. I., Chepel, V., Carvalho, J. C. et al., Performance analysis based on a Monte Carlo simulation of a liquid Xenon PET detector. IEEE Trans Nucl Sci 42: 2298–2302 (1995).
Binkley P. F., Optimization of scintillation detector timing systems using Monte Carlo analysis. IEEE Trans Nucl Sci 41: 386–393 (1994).
DeVol T. A., Moses, W. W. and Derenzo, S. E., Monte Carlo optimization of depth-of-interaction resolution in PET crystals. IEEE Trans Nucl Sci 40: 170–174 (1993).
Comanor K. A., Virador, P. R. G. and Moses, W. W., Algorithms to identify detector Compton scatter in PET modules. IEEE Trans Nucl Sci 43: 2213–2218 (1996).
Tsang G., Moisan, C. and Rogers, J. G., A simulation to model position encoding multicrystal PET detectors. IEEE Trans Nucl Sci 42: 2236–2243 (1995).
Moisan C., Rogers, J. G., Buckley, K. R. et al., Design studies of a depth-encoding large aperture PET camera. IEEE Trans Nucl Sci 42: 1041–1050 (1995).
Cayouette F., Zhang, N. and Thompson, C. J., Monte Carlo simulation using DETECT2000 of a multilayered scintillation block and fit to experimental data. IEEE Trans Nucl Sci 50: 339–343 (2003).
Eriksson L., Townsend, D., Eriksson, M. et al., Experience with scintillators for PET: towards the fifth generation of PET scanners. Nucl Instr Meth A 525: 242–248 (2004).
Webb S., Binnie, D. M., Flower, M. A. et al., Monte Carlo modelling of the performance of a rotating slit-collimator for improved planar gamma-camera imaging. Phys Med Biol 37: 1095–1108 (1992).
Moore S., de Vries, D., Penney, B. et al., “Design of a collimator for imaging In-111” in: Monte Carlo calculations in nuclear medicine: Applications in diagnostic imaging, edited by M Ljungberg, S-E Strand, and M A King Institute of Physics Publishing, Bristol, (1998), pp 183–193.
Kimiaei S., Ljungberg, M. and Larsson, S. A., Evaluation of optimally designed planar-concave collimators in single-photon emission tomography. Eur J Nucl Med 24: 1398–1404 (1997).
Thompson C. J., The effect of collimation on single rates in multi-slice PET. IEEE Trans Nucl Sci 36: 1072–1077 (1989).
Digby W. M., Dahlbom, M. and Hoffman, E. J., Detector, shielding and geometric design factors for a high-resolution PET system. IEEE Trans Nucl Sci 37: 664–670 (1990).
Groiselle C. J., D’Asseler, Y., Kolthammer, J. A. et al., A Monte Carlo simulation study to evaluate septal spacing using triple-head hybrid PET imaging. IEEE Trans Nucl Sci 50: 1339–1346 (2003).
Moore S. C., deVries, D. J., Nandram, B. et al., Collimator optimization for lesion detection incorporating prior information about lesion size. Med Phys 22: 703–713 (1995).
Pollard K. R., Bice, A. N., Eary, J. F. et al., A method for imaging therapeutic doses of iodine-131 with a clinical gamma camera. J Nucl Med 33: 771–776 (1992).
Smith M. F. and Jaszczak, R. J., The effect of gamma ray penetration on angle-dependent sensitivity for pinhole collimation in nuclear medicine. Med Phys 24: 1701–1709 (1997).
van der Have F. and Beekman, F. J., Photon penetration and scatter in micropinhole imaging: a Monte Carlo investigation. Phys Med Biol 49: 1369–1386 (2004).
Wang H., Jaszczak, R. J. and Coleman, R. E., Monte Carlo modeling of penetration effect for iodine-131 pinhole imaging. IEEE Trans Nucl Sci 43: 3272–3277 (1996).
Gieles M., de Jong, H. W. and Beekman, F. J., Monte Carlo simulations of pinhole imaging accelerated by kernel-based forced detection. Phys Med Biol 47: 1853–1867 (2002).
Thompson C. J., Roney, J. M., Lecomte, R. et al., Dependence of the coincidence aperture function of narrow BGO crystals on crystal shape and light encoding schemes. Phys Med Biol 31: 491–506 (1986).
Thompson C. J., The effect of collimation on scatter fraction in multi-slice PET IEEE Trans Nucl Sci 35: 598–602 (1988).
Bradshaw J., Burnham, C. and Correia, J., Application of Monte Carlo methods to the design of SPECT detector systems. IEEE Trans Nucl Sci 32: 753–757 (1985).
Heanue J. A., Brown, J. K., Tang, H. R. et al., A bound on the energy resolution required for quantitative SPECT. Med Phys 23: 169–173 (1996).
Thompson C. J., The effects of detector material and structure on PET spatial resolution and efficiency. IEEE Trans Nucl Sci 37: 718–724 (1990).
Dahlbom M., Rosenquist, G., Eriksson, L. et al., A study of the possibility of using multi-slice PET systems for 3D imaging. IEEE Trans Nucl Sci 36: 1066–1071 (1989).
Moses W. W., Virador, P. R. G., Derenzo, S. E. et al., Design of a high-resolution, high-sensitivity PET camera for human brains and small animals. IEEE Trans Nucl Sci 41: 1487–1491 (1997).
Braem A., Chamizo Llatas, M., Chesi, E. et al., Novel design of a parallax free Compton enhanced PET scanner. Nucl Instr Meth A 525: 268–274 (2004).
Schramm N. U., Ebel, G., Engeland, U. et al., High-resolution SPECT using multipinhole collimation. IEEE Trans Nucl Sci 50: 315–320 (2003).
Lazaro D., Buvat, I., Loudos, G. et al., Validation of the GATE Monte Carlo simulation platform for modelling a CsI(Tl) scintillation camera dedicated to small-animal imaging. Phys Med Biol 49: 271–285 (2004).
Miyaoka R. S., Dynamic high resolution positron emission imaging of rats. Biomed Sci Instrum 27: 35–42 (1991).
Pavlopoulos S. and Tzanakos, G., Design and performance evaluation of a high-resolution small animal positron tomograph. IEEE Trans Nucl Sci 43: 3249–3255 (1996).
Bevilacqua A., Bollini, D., Del Guerra, A. et al., A 3-D Monte Carlo simulation of a small animal positron emission tomograph with millimeter spatial resolution. IEEE Trans Nucl Sci 46: 697–701 (1999).
Lartizien C., Reilhac, A., Costes, N. et al., Monte Carlo simulation-based design study of a LSO-LuAP small animal PET system. IEEE Trans Nucl Sci 50: 1433–1438 (2003).
Seidel J., Vaquero, J. J. and Green, M. V., Resolution uniformity and sensitivity of the NIH ATLAS small animal PET scanner: Comparison to simulated LSO scanners without depth-of-interaction capability. IEEE Trans Nucl Sci 50: 1347–1350 (2003).
Rannou F. R., Kohli, V., Prout, D. L. et al., Investigation of OPET performance using GATE, a Geant4-based simulation software. IEEE Trans Nucl Sci 51: 2713–2717 (2004).
Vaska P., Woody, C. L., Schlyer, D. J. et al., RatCAP: miniaturized head-mounted PET for conscious rodent brain imaging. IEEE Trans Nucl Sci 51: 2718–2722 (2004).
Floyd C. E., Jaszczak, R. J. and Coleman, R. E., Inverse Monte Carlo: a unified reconstruction algorithm for SPECT. IEEE Trans Nucl Sci 32: 779–785 (1985).
Boning G., Pichler, B. J., Rafecas, M. et al., Implementation of Monte Carlo coincident aperture functions in image generation of a high-resolution animal positron tomograph. IEEE Trans Nucl Sci 48: 805–810 (2001).
Rafecas M., Mosler, B., Dietz, M. et al., Use of a Monte Carlo-based probability matrix for 3-D iterative reconstruction of MADPET-II data. IEEE Trans Nucl Sci 51: 2597–2605 (2004).
Beekman F. J., de Jong, H. W. A. M. and van Geloven, S., Efficient fully 3-D iterative SPECT reconstruction with monte carlo-based scatter compensation. IEEE Trans Med Imaging 21: 867–877 (2002).
Wilson D. W., Tsui, B. M. W. and Barrett, H., Noise properties of the EM algorithm: II. Monte Carlo simulations. Phys Med Biol 39: 847–871 (1994).
Wang W. and Gindi, G., Noise analysis of MAP-EM algorithms for emission tomography. Phys Med Biol 42: 2215–2232 (1997).
Soares E. J., Glick, S. J. and Hoppin, J. W., Noise characterization of block-iterative reconstruction algorithms: II. Monte Carlo simulations. IEEE Trans Med Imaging 24: 112–121 (2005).
Lewellen T. K., Harrison, R. L. and Kohlmyer, S. G., Effect of lower energy threshold on single and multiple scatter distributions in positron volume imaging. IEEE Trans Nucl Sci 46: 1129–1135 (1999).
Zaidi H., Reconstruction-based estimation of the scatter component in positron emission tomography Ann Nucl Med Sci 14: 161–171 (2001).
Laymon C. M., Harrison, R. L., Kohlmyer, S. G. et al., Characterization of single and multiple scatter from matter and activity distributions outside the FOV in 3-D PET. IEEE Trans Nucl Sci 51: 10–15 (2004).
Ogawa K., Kawamura, Y., Kubo, A. et al., Estimation of scattered photons in gamma ray transmission CT using Monte Carlo simulations. IEEE Trans Nucl Sci 44: 1225–1230 (1997).
Colijn A. P., Zbijewski, W., Sasov, A. et al., Experimental validation of a rapid Monte Carlo based micro-CT simulator. Phys Med Biol 49: 4321–4333 (2004).
Ay M. and Zaidi, H., Development and validation of MCNP4C-based Monte Carlo simulator for fan-and cone-beam x-ray CT. (2005) submitted
Ljungberg M., Strand, S.-E., Rajeevan, N. et al., Monte Carlo simulation of transmission studies using a planar source with a parallel collimator and a line source with a fan-beam collimator. IEEE Trans Nucl Sci 41: 1577–1584 (1994).
de Jong H. W., Wang, W. T., Frey, E. C. et al., Efficient simulation of SPECT down-scatter including photon interactions with crystal and lead. Med Phys 29: 550–560 (2002).
Bokulic T., Vastenhouw, B., De Jong, H. et al., Monte Carlo-based down-scatter correction of SPECT attenuation maps. Eur J Nucl Med Mol Imaging 31: 1173–1181 (2004).
Gustafsson A., Bake, B., Jacobsson, L. et al., Evaluation of attenuation corrections using Monte Carlo simulated lung SPECT. Phys Med Biol 43: 2325–2336 (1998).
Arlig A., Gustafsson, A., Jacobsson, L. et al., Attenuation correction in quantitative SPECT of cerebral blood flow: a Monte Carlo study. Phys Med Biol 45: 3847–3859 (2000).
Kojima A., Matsumoto, M., Takahashi, M. et al., Effect of energy resolution on scatter fraction in scintigraphic imaging: Monte Carlo study. Medical Physics 20: 1107–13 (1993).
Meikle S. R. and Badawi, R. D., “Quantitative Techniques in Positron Emission Tomography” in: Positron Emission Tomography: Basic Science and Clinical Practice, edited by P E Valk, D L Bailey, D W Townsend et al. Springer, London, (2003), pp 115–146.
Zaidi H. and Koral, K. F., Scatter modelling and compensation in emission tomography. Eur J Nucl Med Mol Imaging 31: 761–782 (2004).
Dewaraja Y. K., Ljungberg, M. and Koral, K. F., Monte Carlo evaluation of object shape effects in iodine-131 SPET tumor activity quantification. Eur J Nucl Med 28: 900–906 (2001).
Frouin V., Comtat, C., Reilhac, A. et al., Correction of partial volume effect for PET striatal imaging: fast implementation and study of robustness. J Nucl Med 43: 1715–1726 (2002).
Soret M., Koulibaly, P. M., Darcourt, J. et al., Quantitative accuracy of dopaminergic neurotransmission imaging with 123I SPECT. J Nucl Med 44: 1184–1193 (2003).
Loevinger R. and Berman, M., MIRD Pamphlet No. 1: A schema for absorbed-dose calculation for biologically distributed radionuclides. J Nucl Med 9: 7–14 (1968).
Stabin M. G. and Konijnenberg, M. W., Re-evaluation of absorbed fractions for photons and electrons in spheres of various sizes. J Nucl Med 41: 149–160 (2000).
Bice A. N., Links, J. M., Wong, D. F. et al., Absorbed fractions for dose calculations of neuroreceptor PET studies. Eur J Nucl Med 11: 127–131 (1985).
Cristy M. and Eckerman, K. F., Specific absorbed fractions of energy at various ages from internal photon sources. I Methods, II one year old, III five year old, IV ten year old, V fifteen year old male and adult female, VI new-born and VII adult male. Oak Ridge National Laboratory; Report ORNL/TM 8381/V1-V7, 1987.
Bouchet L. G., Bolch, W. E., Weber, D. A. et al., MIRD Pamphlet No. 15: Radionuclide S values in a revised dosimetric model of the adult head and brain. Medical Internal Radiation Dose. J Nucl Med 40: 62S–101S (1999).
Snyder W., Ford, M. R. and Warner, G., Estimates of specific absorbed fractions for photon sources uniformly distributed in various organs of a heterogeneous phantom. Pamphlet No. 5, revised., Society of Nuclear Medicine, New York, (1978).
Bolch W. E., Bouchet, L. G., Robertson, J. S. et al., MIRD pamphlet No. 17: the dosimetry of nonuniform activity distributions-radionuclide S values at the voxel level. Medical Internal Radiation Dose Committee. J Nucl Med 40: 11S–36S (1999).
Stabin M. G. and Yoriyaz, H., Photon specific absorbed fractions calculated in the trunk of an adult male voxel-based phantom. Health Phys 82: 21–44 (2002).
Zubal I. G., Harrell, C. R., Smith, E. O. et al., Computerized 3-dimensional segmented human anatomy. Med Phys 21: 299–302 (1994).
Chao T. C. and Xu, X. G., Specific absorbed fractions from the image-based VIP-Man body model and EGS4-VLSI Monte Carlo code: internal electron emitters. Phys Med Biol 46: 901–927 (2001).
Chao T.-c. and Xu, X. G., S-values calculated from a tomographic head/brain model for brain imaging. Phys Med Biol 49: 4971–4984 (2004).
Bardies M. and Myers, M. J., Computational methods in radionuclide dosimetry. Phys Med Biol 41: 1941–55 (1996).
Furhang E. E., Sgouros, G. and Chui, C. S., Radionuclide photon dose kernels for internal emitter dosimetry. Med Phys 23: 759–764 (1996).
Leichner P. K., A unified approach to photon and beta particle dosimetry. J Nucl Med 35: 1721–1729 (1994).
Sgouros G., Chiu, S., Pentlow, K. S. et al., Three-dimensional dosimetry for radioimmunotherapy treatment planning. J Nucl Med 34: 1595–1601 (1993).
Yoriyaz H., Stabin, M. G. and dos Santos, A., Monte Carlo MCNP-4B-based absorbed dose distribution estimates for patient-specific dosimetry. J Nucl Med 42: 662–669 (2001).
Ljungberg M., Sjogreen, K., Liu, X. et al., A 3-dimensional absorbed dose calculation method based on quantitative SPECT for radionuclide therapy: evaluation for (131)I using monte carlo simulation. J Nucl Med 43: 1101–1109 (2002).
Poston J. W., Bolch, W. and Bouchet, L., “Mathematical models of the human anatomy” in: Therapeutic applications of Monte Carlo calculations in nuclear medicine, edited by H Zaidi and G Sgouros Institute of Physics Publishing, London, (2002), pp 108–132.
Peter J., Tornai, M. P. and Jaszczek, R. J., Analytical versus voxelized phantom representation for Monte Carlo simulation in radiological imaging. IEEE Trans Med Imaging 19: 556–564 (2000).
Goertzen A. L., Beekman, F. J. and Cherry, S. R., Effect of phantom voxelization in CT simulations. Med Phys 29: 492–498 (2002).
Bouchet L. G. and Bolch, W. E., Five pediatric head and brain mathematical models for use in internal dosimetry. J Nucl Med 40: 1327–1336 (1999).
Clairand I., Bouchet, L. G., Ricard, M. et al., Improvement of internal dose calculations using mathematical models of different adult heights. Phys Med Biol 45: 2771–2785 (2000).
Huh C. and Bolch, W. E., A review of US anthropometric reference data (1971–2000) with comparisons to both stylized and tomographic anatomic models. Phys Med Biol 48: 3411–3429 (2003).
Peter J., Gilland, D. R., Jaszczak, R. J. et al., Four-dimensional superquadric-based cardiac phantom for Monte Carlo simulation of radiological imaging systems. IEEE Trans Nucl Sci 46: 2211–2217 (1999).
Segars W. P., Lalush, D. S. and Tsui, B. M. W., Modeling respiratory mechanics in the MCAT and spline-based MCAT phantoms. IEEE Trans Nucl Sci 48: 89–97 (2001).
Segars W. P., Tsui, B. M., Frey, E. C. et al., Development of a 4-D digital mouse phantom for molecular imaging research. Mol Imaging Biol 6: 149–159 (2004).
Dawson T. W., Caputa, K. and Stuchly, M. A., A comparison of 60 Hz uniform magnetic and electric induction in the human body. Phys Med Biol 42: 2319–2329 (1997).
Sjogreen K., Ljungberg, M., Wingardh, K. et al., Registration of emission and transmission whole-body scintillation-camera images. J Nucl Med 42: 1563–1570 (2001).
Xu X. G., Chao, T. C. and Bozkurt, A., VIP-Man: an image-based whole-body adult male model constructed from color photographs of the Visible Human Project for multi-particle Monte Carlo calculations. Health Phys 78: 476–486 (2000).
Spitzer V. M. and Whitlock, D. G., The Visible Human Dataset: the anatomical platform for human simulation. Anat Rec 253: 49–57 (1998).
Petoussi-Henss N., Zanki, M., Fill, U. et al., The GSF family of voxel phantoms. Phys Med Biol 47: 89–106 (2002).
Nipper J. C., Williams, J. L. and Bolch, W. E., Creation of two tomographic voxel models of paediatric patients in the first year of life. Phys Med Biol 47: 3143–3164 (2002).
Shi C., “The development and application of a tomographic model from CT images for internal dose calculation to pregnant woman,” Ph.D dissertation, Rensselaer Polytechnic Institute, 2004.
Park J. S., Chung, M. S., Hwang, S. B. et al., Visible Korean Human. Improved serially sectioned images of the entire body. IEEE Trans Med Imaging 24: 352–360 (2005).
Caon M., Voxel-based computational models of real human anatomy: a review. Radiat Environ Biophys 42: 229–235 (2004).
Zankl M., Veit, R., Williams, G. et al., The construction of computer tomographic phantoms and their application in radiology and radiation protection. Radiation and Environmental Biophysics 27: 153–64 (1988).
Zubal I. G. and Harrell, C. R., Voxel-based Monte Carlo calculations of nuclear medicine images and applied variance reduction techniques. Image Vision Computing 10: 342–348 (1992).
Jones D. G., A realistic anthropomorphic phantom for calculating organ doses arising from external photon irradiation. Radiat Prot Dosimetry 72: 21–29 (1997).
Jones D. G., A realistic anthropomorphic phantom for calculating specific absorbed fractions of energy deposited from internal gamma emitters. Radiat Prot Dosimetry 79: 411–414 (1998).
Dimbylow P. J., FDTD calculations of the whole-body averaged SAR in an anatomically realistic voxel model of the human body from 1 MHz to 1 GHz. Phys Med Biol 42: 479–490 (1997).
Kramer R., Vieira, J. W., Khoury, H. J. et al., All about MAX: a male adult voxel phantom for Monte Carlo calculations in radiation protection dosimetry. Phys Med Biol 48: 1239–1262 (2003).
Kramer R., Khoury, H. J., Vieira, J. W. et al., All about FAX: a Female Adult voXel phantom for Monte Carlo calculation in radiation protection dosimetry. Phys Med Biol 23: (2004).
Petoussi-Henss N. and Zankl, M., Voxel anthropomorphic models as a tool for internal dosimetry. Radiat Prot Dosimetry 79: 415–418 (1998).
Zankl M. and Wittmann, A., The adult male voxel model “Golem” segmented from whole-body CT patient data. Radiat Environ Biophys 40: 153–162 (2001).
Caon M., Bibbo, G. and Pattison, J., An EGS4-ready tomographic computational model of a 14-year-old female torso for calculating organ doses from CT examinations. Phys Med Biol 44: 2213–2225 (1999).
Saito K., Wittmann, A., Koga, S. et al., Construction of a computed tomographic phantom for a Japanese male adult and dose calculation system. Radiat Environ Biophys 40: 69–75 (2001).
Kinase S., Zankl, M., Kuwabara, J. et al., “Evaluation of specific absorbed factions in voxel phantoms using Monte Carlo simulation” Proceedings of Radiation Risk Assessment in the 21st Century, EPA/JAERI Workshop, Las Vegas, November 5–7 (2001), pp 118–127 (2001).
Sato K., Noguchi, H., Saito, K. et al., “Development of CT voxel phantoms for Japanese” Proceedings of Radiation Risk Assessment in the 21st Century, EPA/JAERI Workshop, Las Vegas, November 5–7 (2001), pp 102–110 (2001).
Zankl M., Fill, U., Petoussi-Henss, N. et al., Organ dose conversion coefficients for external photon irradiation of male and female voxel models. Phys Med Biol 47: 2367–2385 (2002).
Fill U. A., Zankl, M., Petoussi-Henss, N. et al., Adult female voxel models of different stature and photon conversion coefficients for radiation protection. Health Phys 86: 253–272 (2004).
Nagaoka T., Watanabe, S., Sakurai, K. et al., Development of realistic high-resolution whole-body voxel models of Japanese adult males and females of average height and weight, and application of models to radio-frequency electromagnetic-field dosimetry. Phys Med Biol 49: 1–15 (2004).
Lee C. and Lee, J., The Korean reference adult male voxel model “KRman” segmented from whole-body MR data and dose conversion coefficients. [abstract] Health Phys 84[Suppl]: S163 (2003).
Lee C. and Lee, J., Korean adult male voxel model KORMAN segmented from magnetic resonance images. Med Phys 31: 1017–1022 (2004).
Lee C. and Bolch, W., Construction of a tomographic computational model of a 9-mo-old and its Monte Carlo calculation time comparison between the MCNP4C and MCNPX codes. [abstract] Health Phys 84[Suppl]: S259 (2003).
Shi C. and Xu, X. G., Development of a 30-week-pregnant female tomographic model from computed tomography (CT) images for Monte Carlo organ dose calculations. Med Phys 31: 2491–2497 (2004).
Olsson M. B., Wirestam, R. and Persson, B. R., A computer simulation program for MR imaging: application to RF and static magnetic field imperfections. Magn Reson Med 34: 612–617 (1995).
Kwan R. K., Evans, A. C. and Pike, G. B., MRI simulation-based evaluation of image-processing and classification methods. IEEE Trans Med Imaging 18: 1085–97 (1999).
Hacklander T., Mertens, H. and Cramer, B. M., [Computer simulation of a clinical magnet resonance tomography scanner for training purposes]. Rofo 176: 1151–1156 (2004).
Colijn A. P. and Beekman, F. J., Accelerated simulation of cone beam X-ray scatter projections. IEEE Trans Med Imaging 23: 584–590 (2004).
Ay M., Shahriari, M., Sarkar, S. et al., Monte Carlo simulation of x-ray spectra in diagnostic radiology and mammography using MCNP4C. Phys Med Biol 49: 4897–4917 (2004).
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Zaidi, H. (2006). Monte Carlo Modeling in Nuclear Medicine Imaging. In: Zaidi, H. (eds) Quantitative Analysis in Nuclear Medicine Imaging. Springer, Boston, MA. https://doi.org/10.1007/0-387-25444-7_11
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