Comparison of a Bayesian estimation algorithm and singular value decomposition algorithms for 80-detector row CT perfusion in patients with acute ischemic stroke.
Shota IchikawaHiroyuki YamamotoTakumi MoritaPublished in: La Radiologia medica (2021)
The Bayesian estimation algorithm can lead to a better performance compared with the SVD algorithms in the assessment of acute ischemic stroke because of better delineation of abnormal perfusion areas and accurate estimation of infarct volume.
Keyphrases
- acute ischemic stroke
- machine learning
- deep learning
- contrast enhanced
- image quality
- computed tomography
- magnetic resonance imaging
- heart failure
- magnetic resonance
- high resolution
- left ventricular
- neural network
- positron emission tomography
- atrial fibrillation
- acute coronary syndrome
- percutaneous coronary intervention