Our AI model can successfully generate perfusion parameter maps from TOF-MRA images, paving the way for a non-invasive alternative for assessing cerebral hemodynamics in cerebrovascular disease patients. This method could impact the stratification of patients with cerebrovascular diseases. Our results warrant more extensive refinement and validation of the method.
Keyphrases
- contrast enhanced
- end stage renal disease
- mass spectrometry
- ms ms
- ejection fraction
- chronic kidney disease
- newly diagnosed
- magnetic resonance imaging
- deep learning
- atrial fibrillation
- peritoneal dialysis
- prognostic factors
- subarachnoid hemorrhage
- computed tomography
- artificial intelligence
- optical coherence tomography
- patient reported outcomes
- brain injury
- cerebral ischemia
- blood brain barrier
- high density