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Karine Assié

Researcher at French Institute of Health and Medical Research

Publications -  5
Citations -  2178

Karine Assié is an academic researcher from French Institute of Health and Medical Research. The author has contributed to research in topics: Monte Carlo method & Image resolution. The author has an hindex of 3, co-authored 5 publications receiving 1867 citations.

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Journal ArticleDOI

GATE : a simulation toolkit for PET and SPECT

TL;DR: A detailed description of the design and development of GATE is given by the OpenGATE collaboration, whose continuing objective is to improve, document and validate GATE by simulating commercially available imaging systems for PET and SPECT.
Journal ArticleDOI

GATE : a simulation toolkit for PET and SPECT

TL;DR: GATE as mentioned in this paper is a Monte Carlo simulation toolkit for emission tomography that can assist in the design of new medical imaging devices, the optimization of acquisition protocols, and the development or assessment of image reconstruction algorithms and correction techniques.
Journal ArticleDOI

Monte Carlo simulation in PET and SPECT instrumentation using GATE

TL;DR: GATE as discussed by the authors is a Monte Carlo simulation toolkit for PET and SPECT images for emission tomography that allows the users to describe time-dependent phenomena such as detector movements or source decay kinetics.
Journal ArticleDOI

Validation of the Monte Carlo simulator GATE for indium-111 imaging

TL;DR: The results suggest that GATE enables accurate simulation of (111)In SPECT acquisitions, a new Monte Carlo simulation platform based on GEANT4, for modelling indium-111 SPECT data, the quantification of which is of foremost importance for dosimetric studies.
Proceedings ArticleDOI

Validation of gate Monte Carlo simulations for indium 111 imaging

TL;DR: The validity of the Monte Carlo simulation code GATE for simulations of SPECT acquisitions involving 111In is studied and provided an appropriate detector model is developed, GATE enables accurate simulation of 111In data.