Optimization of Gamma Image Quality Through Experimental Evaluation Using 3D-Printed Phantoms Across Energy Window Levels
Chanrok Park, Joowan Hong, Min-Gwan Lee

TL;DR
This study shows that using 140 keV energy windows with 3D-printed phantoms improves gamma image quality in nuclear medicine.
Contribution
Custom 3D-printed phantoms enable reproducible evaluation of energy window effects on gamma imaging quality.
Findings
Image quality metrics like CNR and PSNR were highest at 140 keV for Tc-99m.
Thinner bars in the quadrant phantom were more visible at 140 keV compared to other energy levels.
3D-printed phantoms offer a flexible and reproducible method for energy-dependent imaging optimization.
Abstract
Energy window selection is a critical parameter for optimizing planar gamma image quality in nuclear medicine. In this study, we developed dedicated nuclear medicine phantoms using 3D printing technology to evaluate the impact of varying energy window levels on image quality. Three types of phantoms—a Derenzo phantom with six different sphere diameters, a modified Hoffman phantom incorporating lead for attenuation, and a quadrant bar phantom with four bar thicknesses constructed from bronze filament—were fabricated using Fusion 360 and an Ultimaker S5 3D printer with PLA and bronze-based materials. Planar images were acquired using 37 MBq of Tc-99m for 60 s at energy windows centered at 122, 140, and 159 keV. Quantitative assessments included contrast-to-noise ratio (CNR), coefficient of variation (COV), peak signal-to-noise ratio (PSNR), and structural similarity index measure (SSIM),…
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Taxonomy
TopicsAdvanced X-ray and CT Imaging · Digital Radiography and Breast Imaging · Medical Imaging Techniques and Applications
