Investigation of PET image quality with acquisition time/bed and enhancement of lesion quantification accuracy through deep progressive learning.
Hongxing YangShihao ChenMing QiWen ChenQing KongJianping ZhangShaoli SongPublished in: EJNMMI physics (2024)
The DPL algorithm dramatically enhanced the quality of PET images and enabled more accurate quantification of sub-centimeters lesions in patients and lesions in overweight or obese patients. This is particularly beneficial for overweight or obese patients who usually have lower image quality due to the increased attenuation.
Keyphrases
- image quality
- obese patients
- computed tomography
- weight loss
- bariatric surgery
- positron emission tomography
- end stage renal disease
- deep learning
- dual energy
- roux en y gastric bypass
- gastric bypass
- physical activity
- ejection fraction
- pet ct
- chronic kidney disease
- newly diagnosed
- multiple sclerosis
- magnetic resonance imaging
- metabolic syndrome
- type diabetes
- peritoneal dialysis
- pet imaging
- magnetic resonance
- contrast enhanced
- convolutional neural network