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Title: Analytical positron range modelling in heterogeneous media for PET Monte Carlo simulation
Authors: Lehnert, W
Gregoire, MC
Reilhac, A
Meikle, SR
Keywords: Positron computed tomography
Issue Date: 7-Jun-2011
Publisher: IOP Publishing Ltd
Citation: Lehnert, W., Gregoire, M. C., Reilhac, A., & Meikle, S. R. Analytical positron range modelling in heterogeneous media for PET Monte Carlo simulation. (2011). Physics in Medicine and Biology, 56(11), 3313-3335. doi:10.1088/0031-9155/56/11/009
Abstract: Monte Carlo simulation codes that model positron interactions along their tortuous path are expected to be accurate but are usually slow. A simpler and potentially faster approach is to model positron range from analytical annihilation density distributions. The aims of this paper were to efficiently implement and validate such a method, with the addition of medium heterogeneity representing a further challenge. The analytical positron range model was evaluated by comparing annihilation density distributions with those produced by the Monte Carlo simulator GATE and by quantitatively analysing the final reconstructed images of Monte Carlo simulated data. In addition, the influence of positronium formation on positron range and hence on the performance of Monte Carlo simulation was investigated. The results demonstrate that 1D annihilation density distributions for different isotope–media combinations can be fitted with Gaussian functions and hence be described by simple look-up-tables of fitting coefficients. Together with the method developed for simulating positron range in heterogeneous media, this allows for efficient modelling of positron range in Monte Carlo simulation. The level of agreement of the analytical model with GATE depends somewhat on the simulated scanner and the particular research task, but appears to be suitable for lower energy positron emitters, such as 18F or 11C. No reliable conclusion about the influence of positronium formation on positron range and simulation accuracy could be drawn. © 2011 IOP Publishing LTD
Gov't Doc #: 5292
ISSN: 0031-9155
Appears in Collections:Journal Articles

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