Title :
Convolution-Based Forced Detection Monte Carlo Simulation Incorporating Septal Penetration Modeling
Author :
Liu, Shaoying ; King, Michael A. ; Brill, Aaron B. ; Stabin, Michael G. ; Farncombe, Troy H.
Author_Institution :
Sch. of Med., Dept. of Radiol., Univ. of Massachusetts, Worcester, MA
fDate :
6/1/2008 12:00:00 AM
Abstract :
In SPECT imaging, photon transport effects such as scatter, attenuation and septal penetration can negatively affect the quality of the reconstructed image and the accuracy of quantitation estimation. As such, it is useful to model these effects as carefully as possible during the image reconstruction process. Many of these effects can be included in Monte Carlo (MC) based image reconstruction using convolution-based forced detection (CFD). With CFD Monte Carlo (CFD-MC), often only the geometric response of the collimator is modeled, thereby making the assumption that the collimator materials are thick enough to completely absorb photons. However, in order to retain high collimator sensitivity and high spatial resolution, it is required that the septa be as thin as possible, thus resulting in a significant amount of septal penetration for high energy radionuclides. A method for modeling the effects of both collimator septal penetration and geometric response using ray tracing (RT) techniques has been performed and included into a CFD-MC program. Two look-up tables are pre-calculated based on the specific collimator parameters and radionuclides, and subsequently incorporated into the SIMIND MC program. One table consists of the cumulative septal thickness between any point on the collimator and the center location of the collimator. The other table presents the resultant collimator response for a point source at different distances from the collimator and for various energies. A series of RT simulations have been compared to experimental data for different radionuclides and collimators. Results of the RT technique matches experimental data of collimator response very well, producing correlation coefficients higher than 0.995. Reasonable values of the parameters in the lookup table and computation speed are discussed in order to achieve high accuracy while using minimal storage space for the look-up tables. In order to achieve noise-free projection images from MC, it - - is seen that the inclusion of the RT implementation for septal penetration increases the speed of the simulation by a factor of about 7,500 compared to the conventional SIMIND MC program.
Keywords :
Monte Carlo methods; collimators; image reconstruction; medical image processing; ray tracing; single photon emission computed tomography; Monte Carlo simulation; SIMIND Monte Carlo program; collimator materials; convolution-based forced detection; image reconstruction process; photon transport effects; radionuclides; ray tracing techniques; septal penetration modeling; single photon emission computed tomography; Attenuation; Computational fluid dynamics; Computational modeling; Electromagnetic scattering; Image reconstruction; Monte Carlo methods; Optical collimators; Particle scattering; Single photon emission computed tomography; Solid modeling; Acceleration; Monte Carlo; SPECT; modelling;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.2008.924079