Abstract Background Monte Carlo (MC) simulations are used in nuclear medicine imaging as they provide unparalleled insight into processes that are not directly experimentally measurable, such as scatter and attenuation in an acquisition. Whilst MC is often used to provide a ‘ground-truth’, this is only the case if the simulation is fully validated against experimental data. This work presents a quantitative validation for a MC simulation of a single-photon emission computed tomography (SPECT) system. Methods An MC simulation model of the Mediso AnyScan SCP SPECT system installed at the UK National Physical Laboratory was developed in the GATE (Geant4 Application for Tomographic Emission) toolkit. Components of the detector head and two coll...
This chapter describes the use of the Monte Carlo method to simulate nuclear medicine imaging system...
Single Photon Emission Computed Tomography (SPECT) is one of the most applied molecular imaging tech...
Nuclear medicine imaging systems produce clinical images that are inherently noisier and of lower re...
International audienceIn nuclear medicine, Monte Carlo (MC) simulation is a powerful technique to mo...
Monte Carlo simulations are useful for optimizing and assessing single photon emission computed tomo...
Simulation of the complete nuclear medicine imaging situation for SPECT (Single Photon Emission Comp...
In this study, we simulated a Siemens E.CAM SPECT system using SIMIND Monte Carlo program to acquire...
Purpose: Monte Carlo (MC) modelling techniques can assess the quantitative accuracy of both planar a...
"25 January 1993."Includes bibliographical references (pages 40-42)Nuclear medicine imaging systems ...
Introduction: In Single Photon Emission Computed Tomography (SPECT), the projection data used for im...
There is a need for mathematical modelling for the evaluation of important parameters for photon ima...
The recently developed GATE (GEANT4 application for tomographic emission) Monte Carlo package, desig...
Monte Carlo simulations are increasingly used in scintigraphic imaging to model imaging systems and ...
A. Baldit (Président), Y. Bizais, V. Breton (Directeur de thèse), I. Buvat, L. Desbat (rapporteur), ...
Background: Obtaining high quality images in Single Photon Emission Tomography (SPECT) device is th...
This chapter describes the use of the Monte Carlo method to simulate nuclear medicine imaging system...
Single Photon Emission Computed Tomography (SPECT) is one of the most applied molecular imaging tech...
Nuclear medicine imaging systems produce clinical images that are inherently noisier and of lower re...
International audienceIn nuclear medicine, Monte Carlo (MC) simulation is a powerful technique to mo...
Monte Carlo simulations are useful for optimizing and assessing single photon emission computed tomo...
Simulation of the complete nuclear medicine imaging situation for SPECT (Single Photon Emission Comp...
In this study, we simulated a Siemens E.CAM SPECT system using SIMIND Monte Carlo program to acquire...
Purpose: Monte Carlo (MC) modelling techniques can assess the quantitative accuracy of both planar a...
"25 January 1993."Includes bibliographical references (pages 40-42)Nuclear medicine imaging systems ...
Introduction: In Single Photon Emission Computed Tomography (SPECT), the projection data used for im...
There is a need for mathematical modelling for the evaluation of important parameters for photon ima...
The recently developed GATE (GEANT4 application for tomographic emission) Monte Carlo package, desig...
Monte Carlo simulations are increasingly used in scintigraphic imaging to model imaging systems and ...
A. Baldit (Président), Y. Bizais, V. Breton (Directeur de thèse), I. Buvat, L. Desbat (rapporteur), ...
Background: Obtaining high quality images in Single Photon Emission Tomography (SPECT) device is th...
This chapter describes the use of the Monte Carlo method to simulate nuclear medicine imaging system...
Single Photon Emission Computed Tomography (SPECT) is one of the most applied molecular imaging tech...
Nuclear medicine imaging systems produce clinical images that are inherently noisier and of lower re...