Development and validation of a full model of a four-headed neuroimaging single-photon emission computed tomography scanner.
Nucl Med Commun
; 40(1): 14-21, 2019 Jan.
Article
en En
| MEDLINE
| ID: mdl-30371606
OBJECTIVE: The Nucline X-Ring 4R is a four-headed gamma camera dedicated to neuroimaging. In this paper, we describe and validate a GATE (Geant4 Application for Tomographic Emission) model of the Nucline X-Ring 4R. MATERIALS AND METHODS: Images produced during model simulations were compared with those acquired experimentally to confirm the model was an accurate representation of the scanner. The most commonly reported measurements used to validate a GATE model include energy resolution, spatial resolution and sensitivity. In addition to the commonly reported static imaging measures, single-photon emission computed tomography (SPECT) spatial resolution was investigated to confirm that the model produces similar SPECT images to the experimental output. RESULTS: The experimental full-width at half-maximum was calculated to be 12.3 keV, which corresponds to an energy resolution of 8.8%. The simulated full-width at half-maximum was measured to be 12 keV, giving an energy resolution of 8.6%. The average spatial resolutions were found to be well matched (5.69 mm - simulated and 5.64 mm - experimental). However, the sensitivity was overestimated using the GATE model (47.8 and 54.3 cps/MBq) compared with the values obtained experimentally (42.7 and 44.3 cps/MBq). Finally, the simulated SPECT spatial resolution images were found to produce qualitatively comparable results. CONCLUSION: The model developed has been shown to produce similar results and images to those obtained experimentally. This model has the potential to simulate patient scans with the aim of improving patient care by optimizing scanner protocols.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Tomografía Computarizada de Emisión de Fotón Único
/
Método de Montecarlo
/
Neuroimagen
Tipo de estudio:
Health_economic_evaluation
Idioma:
En
Revista:
Nucl Med Commun
Año:
2019
Tipo del documento:
Article
Pais de publicación:
Reino Unido