Estimating the volume of penumbra in rodents using DTI and stack-based ensemble machine learning framework
Duen-Pang Kuo,
Yung-Chieh Chen,
Yi-Tien Li
et al.
Abstract:Background
This study investigates the potential of diffusion tensor imaging (DTI) in identifying penumbral volume (PV) compared to the standard gadolinium-required perfusion–diffusion mismatch (PDM), utilizing a stack-based ensemble machine learning (ML) approach with enhanced explainability.
Methods
Sixteen male rats were subjected to middle cerebral artery occlusion. The penumbra was identified using PDM at 30 and 90 min after occlusion. We used… Show more
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