Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning.
Mohammad Mahdi Shiraz BhurwaniTimothe BoutelierAdam DavisGuillaume GautierDennis SwetzRyan A RavaDorian RaguenesMuhammed WaqasKenneth V SnyderAdnan H SiddiquiCiprian N IonitaPublished in: Journal of medical imaging (Bellingham, Wash.) (2023)
Use of deep learning algorithms to assess severity of AIS in terms of infarct and penumbra volume is precise and outperforms current relative thresholding methods. Such an algorithm would enhance the reliability of CTP in guiding treatment decisions.
Keyphrases
- deep learning
- computed tomography
- machine learning
- artificial intelligence
- convolutional neural network
- acute myocardial infarction
- contrast enhanced
- positron emission tomography
- magnetic resonance imaging
- ischemia reperfusion injury
- combination therapy
- atrial fibrillation
- oxidative stress
- left ventricular
- smoking cessation
- cerebral ischemia