Optimization of BMI-Based Images for Overweight and Obese Patients - Implications on Image Quality, Quantification, and Radiation Dose in Whole Body 18 F-FDG PET/CT Imaging.
Yassine BoucharebNaima TagHajir SulaimanKhulood Al-RiyamiZabah JawaHumoud Al-DhuhliPublished in: Nuclear medicine and molecular imaging (2023)
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.
Keyphrases
- image quality
- obese patients
- computed tomography
- end stage renal disease
- bariatric surgery
- body mass index
- weight gain
- dual energy
- ejection fraction
- newly diagnosed
- chronic kidney disease
- weight loss
- roux en y gastric bypass
- deep learning
- gastric bypass
- prognostic factors
- peritoneal dialysis
- physical activity
- magnetic resonance imaging
- convolutional neural network
- peripheral blood
- machine learning
- magnetic resonance
- patient reported outcomes