Artificial intelligence-based image-domain material decomposition in single-energy computed tomography for head and neck cancer

ConclusionIn this study, we developed an AI-based material decomposition approach for head and neck cancer patients by introducing the loss function for MDIs via multiple keV-output learning. Our results suggest the feasibility of AI-based image-domain material decomposition in a conventional SECT system without a DECT scanner.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research