KMID : 1148920230570040180
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Nuclear Medicine and Molecular Imaging 2023 Volume.57 No. 4 p.180 ~ p.193
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Optimization of BMI-Based Images for Overweight and Obese Patients ? Implications on Image Quality, Quantification, and Radiation Dose in Whole Body 18F-FDG PET/CT Imaging
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Yassine Bouchareb
Naima Tag Hajir Sulaiman Khulood Al-Riyami Zabah Jawa Humoud Al-Dhuhli
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Abstract
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Purpose : In PET/CT imaging, the activity of the 18F-FDG activity is injected either based on patient body weight (BW) or body mass index (BMI). The purpose of this study was to optimise BMI-based whole body 18F-FDG PET images obtained from overweight and obese patients and assess their image quality, quantitative value and radiation dose in comparison to BW-based images.
Methods : The NEMA-IEC-body phantom was scanned using the mCT 128-slice scanner. The spheres and background were filed with F-18 activity. Spheres-to-background ratio was 4:1. Data was reconstructed using the OSEM-TOF-PSF routine reconstruction. The optimization was performed by varying number of iterations and subsets, filter¡¯s size and type, and matrix size. The optimized reconstruction was applied to 17 patients¡¯ datasets. The optimized BMI-, routine BMI- and the BW-based images were compared visually and using contrast-to-noise ratio (CNR) and standardized uptake values (SUV) measurements.
Results : The visual assessment of the optimized phantom images showed better image quality and contrast-recovery-coefficients (CRCs) values compared to the routine reconstruction. Using patient data, the optimized BMI-based images provided better image quality compared to BW-based images in 87.5% of the overweight cases and 66.7% for obese cases. The optimized BMI-based images resulted in more than 50% reduction of radiation dose. No significant differences were found between the three series of images in SUV measurements.
Conclusion : The optimized BMI-based approach using 1 iteration, 21 subsets, and 3 mm Hamming filter improves image quality, reduces radiation dose, and provides, at least, similar quantification compared to the BW-based approach for overweight and obese patients.
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KEYWORD
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18F-FDG PET/CT, Body-mass-index, PET reconstruction optimization, OSEM-TOF-PSF, Quantifcation, Obese/overweight patients
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