Monte Carlo evaluation of scattering correction methods in <sup>131</sup>I studies using pinhole collimator

Scattering is quite important for image activity quantification. In order to study the scattering factors and the efficacy of 3 multiple window energy scatter correction methods during 131I thyroid studies with a pinhole collimator (5 mm hole) a Monte Carlo simulation (MC) was developed. The GAMOS M...

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Bibliographic Details
Main Authors: Adlin López Díaz, Sunay Rodríguez Pérez, Angelina Díaz García, Aley Palau San Pedro, Juan Miguel Martín Escuela
Format: Article
Language:English
Published: Centro de Gestión de la Información y Desarrollo de la Energía (CUBAENERGIA) 2017-01-01
Series:Nucleus
Subjects:
Online Access:http://nucleus.cubaenergia.cu/index.php/nucleus/article/view/12
Description
Summary:Scattering is quite important for image activity quantification. In order to study the scattering factors and the efficacy of 3 multiple window energy scatter correction methods during 131I thyroid studies with a pinhole collimator (5 mm hole) a Monte Carlo simulation (MC) was developed. The GAMOS MC code was used to model the gamma camera and the thyroid source geometry. First, to validate the MC gamma camera pinhole-source model, sensibility in air and water of the simulated and measured thyroid phantom geometries were compared. Next, simulations to investigate scattering and the result of triple energy (TEW), Double energy (DW) and Reduced double (RDW) energy windows correction methods were performed for different thyroid sizes and depth thicknesses. The relative discrepancies to MC real event were evaluated. Results: The accuracy of the GAMOS MC model was verified and validated. The image’s scattering contribution was significant, between 27-40 %. The discrepancies between 3 multiple window energy correction method results were significant (between 9-86 %). The Reduce Double Window methods (15%) provide discrepancies of 9-16 %. Conclusions: For the simulated thyroid geometry with pinhole, the RDW (15 %) was the most effective.
ISSN:0864-084X
2075-5635