CT perfusion extended window ischemic core estimation: Bayesian algorithm versus oscillation index singular value decomposition.
Nicola MorelliPaolo ImmovilliElena GiacopazziEugenia RotaMarco SpallazziDomenica ZainoDavide ColombiDonata GuidettiEmanuele MichielettiPublished in: Journal of neuroimaging : official journal of the American Society of Neuroimaging (2023)
The agreement between Bayesian algorithm and DWI was greater than between oSVD and DWI in the extended window. The more accurate estimation of the ischemic core offered by the Bayesian algorithm may well play a critical role in the accurate selection of patients for reperfusion therapies.
Keyphrases
- machine learning
- deep learning
- end stage renal disease
- cerebral ischemia
- contrast enhanced
- diffusion weighted imaging
- diffusion weighted
- newly diagnosed
- ejection fraction
- chronic kidney disease
- high resolution
- peritoneal dialysis
- computed tomography
- magnetic resonance imaging
- neural network
- acute myocardial infarction
- ischemia reperfusion injury
- acute coronary syndrome
- dual energy
- blood brain barrier
- patient reported outcomes
- atrial fibrillation
- acute ischemic stroke
- patient reported