A semi-analytic variance reduction technique developed for collimated gamma emission tomography problems was compared to classic Monte Carlo variance reduction techniques within the Monte Carlo N Particle Transport (MCNP) code. In the semi-analytic technique, a computationally efficient, non-analog, monodirectional source biased Monte Carlo simulation is first performed. Analytical expressions or empirical values are then used to correct for solid angle and field-of-view effects introduced by the non-analog source definition. This variance reduction technique was compared with deterministic transport sphere (DXTRAN) and geometry splitting variance reduction schemes to determine the accuracy and computational savings of each technique relati...
The imaging properties of optimally designed planar-concave (PC) collimators were evaluated by means...
Variance reduction techniques are employed in Monte Carlo analyses to increase the number of partic...
The application of Variance Reduction Techniques (VRT) in Monte Carlo (MC) codes brings significant ...
A numerical radiation transport methodology for predicting gamma emission tomographs was developed u...
This study compares the accuracy, efficiency, and reliability of variance reduction (VR) methods for...
The potential of modeling the photon transport in passive gamma emission tomography (PGET) with Serp...
The aim of this work is to show a new scintigraphic device able to change automatically the length o...
A Monte Carlo simulation system was enhanced in order to analyze photon transport in tapered geometr...
The aim of this work is to show a new scintigraphic device able to change automatically the length o...
Radiation treatment planning (RTP) for cancer therapy requires the calculation of radiation dose dis...
Monte Carlo N-Particle (MCNP) simulation has been extensively proven in nuclear medicine imaging sys...
Background: Obtaining high quality images in Single Photon Emission Tomography (SPECT) device is th...
The Anisotropic Analytical Algorithm (AAA) is a new pencil beam convolution/superposition algorithm ...
The Anisotropic Analytical Algorithm (AAA) is a new pencil beam convolution/superposition algorithm ...
The Anisotropic Analytical Algorithm (AAA) is a new pencil beam convolution/superposition algorithm ...
The imaging properties of optimally designed planar-concave (PC) collimators were evaluated by means...
Variance reduction techniques are employed in Monte Carlo analyses to increase the number of partic...
The application of Variance Reduction Techniques (VRT) in Monte Carlo (MC) codes brings significant ...
A numerical radiation transport methodology for predicting gamma emission tomographs was developed u...
This study compares the accuracy, efficiency, and reliability of variance reduction (VR) methods for...
The potential of modeling the photon transport in passive gamma emission tomography (PGET) with Serp...
The aim of this work is to show a new scintigraphic device able to change automatically the length o...
A Monte Carlo simulation system was enhanced in order to analyze photon transport in tapered geometr...
The aim of this work is to show a new scintigraphic device able to change automatically the length o...
Radiation treatment planning (RTP) for cancer therapy requires the calculation of radiation dose dis...
Monte Carlo N-Particle (MCNP) simulation has been extensively proven in nuclear medicine imaging sys...
Background: Obtaining high quality images in Single Photon Emission Tomography (SPECT) device is th...
The Anisotropic Analytical Algorithm (AAA) is a new pencil beam convolution/superposition algorithm ...
The Anisotropic Analytical Algorithm (AAA) is a new pencil beam convolution/superposition algorithm ...
The Anisotropic Analytical Algorithm (AAA) is a new pencil beam convolution/superposition algorithm ...
The imaging properties of optimally designed planar-concave (PC) collimators were evaluated by means...
Variance reduction techniques are employed in Monte Carlo analyses to increase the number of partic...
The application of Variance Reduction Techniques (VRT) in Monte Carlo (MC) codes brings significant ...