The Actual Role of Iterative Reconstruction Algorithm Methods in Several Saudi Hospitals As A Tool For Radiation Dose Minimization of Ct Scan Examinations.
Haney AlsleemAbdulrahman TajaldeenAbdulrahman AlmutairiHussain AlmohiyEbtisam AldaaisRayan AlbattatMousa AlsleemElfatih AbuelhiaOsama Abdalla Mabrouk KheirallaAhmed AlqahtaniSalem AlghamdiRowa AljondiRenad AlharbiPublished in: Journal of multidisciplinary healthcare (2022)
The results indicate that the majority of radiographer and radiologist at four different hospitals in Saudi Arabia have no explicit or understandable knowledge of selecting IR strength levels during the CT examination of patients. There is a need for more training in IR applications for both radiologists and radiographers. Training sessions were suggested to support radiographers and radiologists to efficiently utilize IR techniques to optimize image quality. Further studies are required to adjust CT exam protocols effectively to utilize the IR technique.
Keyphrases
- image quality
- dual energy
- computed tomography
- healthcare
- end stage renal disease
- artificial intelligence
- ejection fraction
- chronic kidney disease
- newly diagnosed
- machine learning
- positron emission tomography
- contrast enhanced
- magnetic resonance imaging
- prognostic factors
- peritoneal dialysis
- magnetic resonance
- saudi arabia
- patient reported