Monte Carlo simulations in emission tomography and GATE: An overview

Buvat, Irène; Lazaro, D.

doi:10.1016/j.nima.2006.08.039

Cited by 86 publications

(44 citation statements)

References 28 publications

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“…A good agreement between the simulated and the experimental data sets for the scatter fraction and count rate measured at 1 kBq/ml concentration has been reported [18]. The simulation accuracy, reliability and applicability make the GATE system a validated platform for PET and SPECT applications, such as detector and scanner design [9][10][11], image reconstruction [12][13][14], scatter and attenuation correction methods [15,16], protocol optimization [17], and so on.…”

Section: Introductionmentioning

confidence: 59%

QGATE: An Educational Environment to Learn and Perform Nuclear Medicine Imaging Simulation with GATE

Li¹

2011

TOMIJ

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Geant4 Application for Tomographic Emission (GATE) is a commonly used platform developed for nuclear medicine imaging simulation. It has been used to investigate imaging system's sensitivity, data acquisition methods, or image reconstruction algorithms. The GATE system, based on the Monte Carlo method, operates relying on user-provided scripts that follow the program definitions in the system's command library. Script-writing is usually time-consuming and frequently error-associated unless one has had certain experience in the simulation field and is familiar with programming. This is obviously an obstacle to students and beginners. The learning curve of script-writing is relatively flat to nonprogramming background learners. In addition, the GATE system is commonly installed on a high-performance computer, on which the scripts are usually compiled and used by the user only. In order to utilize GATE's potential to be a routine simulation toolkit, we have developed QGATE, a GUI-based GATE system. The QGATE system provides users a graphical environment where a simulation design is achieved by fashions like "drag-and-drop objects" and "choose-and-modify parameters". The scripts will be automatically generated and complied by the system. Parameters belonging to each object have default values so as to avoid errors induced by new users. The QGATE system consists of one or more QGATE Clients and one QGATE Server. The Client can be installed on individual computers so that multiple users can work on their simulation projects simultaneously by using the graphical designing tools. The Server is installed on the same computer as the GATE system resides. The Server manages the submitted simulation scripts queued by a job ticket and returns the job finish signal to the corresponding client. The QGATE system is suitable for classroom training and easy to use for students or new users to the field of nuclear medicine imaging simulation.

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Section: Introductionmentioning

confidence: 59%

QGATE: An Educational Environment to Learn and Perform Nuclear Medicine Imaging Simulation with GATE

Li¹

2011

TOMIJ

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“…The injected dose is 5 mCi. From these kinetics, projections on detectors have first been generated through simulations for every time frame with Monte-Carlo code GATE [11]. Real data acquisitions have been then performed on a real gamma-imager.…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal Decomposition in Object-Space along Reconstruction in Emission Tomography

Hubert

Chambellan

Legoupil

et al. 2008

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

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Abstract. Emission tomography has provided a new insight in brain mechanisms past years. Although reconstructions are nowadays mostly static, trend is going toward dynamic acquisitions and reconstructions. This opens a new range of investigations, for instance for drugs discovery. Indeed new drugs are studied through the dynamic ability of tissues to catch them. However, it is required to know radiotracer concentration of blood that irrigates tissues in order to draw conclusions on potentials of these drugs. This concentration is called 'input function' and this paper presents a new method for measuring it in a non-invasive way.Our new method relies on simultaneous estimations of vessels kinetics and vessels spatial distribution. These estimations are performed during the reconstruction process and take into account the statistical nature of measured signals. Indeed, this method is based on the maximisation of the likelihood of counts in detectors. It takes advantages of a nonnegative matrix factorisation which separate spatial and temporal components. Results are very promising, since it estimates arterial input function accurately although object emits just a limited amount of photons, especially within the first minutes.

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“…Prova disso é que o MMC tem sido uma ferramenta essencial em diversas áreas da ciência, dentre elas: economia [6]; medicina [7]; medicina nuclear [8]; biologia [9]; ecologia [10,11]; física do clima [12]; climatologia [13,14]; engenharias [15,16]; modelagem de colisões veiculares [17][18][19][20].…”

Section: Método De Monte Carlounclassified

Análise probabilística de colisões veiculares pelo método de Monte Carlo

Carvalho¹,

Armigliato²,

Almeida³

et al. 2016

Rev. Bras. Crimin.

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ResumoEste trabalho apresenta um modelo para análise probabilística de perícias de colisão de veículos automotores, apresentando um modelo computacional flexível para avaliação da confiabilidade por simulação Monte Carlo. Os procedimentos desenvolvidos buscaram a representação estatística dos parâmetros ambientais e psicomotores, tais como coeficientes de atrito e ritmo de Reação, em uma simulação, com 10.000 iterações, da confiabilidade em um modelo bidimensional aplicado a um estudo de caso de colisão frontal envolvendo dois veículos de passeio, obtendo intervalos unilaterais e bilaterais para as variáveis estudadas. AbstractThis paper presents a model for probabilistic analysis skills collision of motor vehicles, featuring a flexible computational model for the evaluation of reliability by Monte Carlo simulation. The developed procedures sought statistical representation of environmental and psychomotor parameters such as friction coefficient and reaction rate in a simulation with 10,000 iterations, reliability in a twodimensional model applied to a frontal collision case study involving two vehicles, obtaining unilateral and bilateral ranges for the variables studied.

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Monte Carlo simulations in emission tomography and GATE: An overview

Cited by 86 publications

References 28 publications

QGATE: An Educational Environment to Learn and Perform Nuclear Medicine Imaging Simulation with GATE

QGATE: An Educational Environment to Learn and Perform Nuclear Medicine Imaging Simulation with GATE

Spatiotemporal Decomposition in Object-Space along Reconstruction in Emission Tomography

Análise probabilística de colisões veiculares pelo método de Monte Carlo

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