Conversion of single-energy computed tomography to parametric maps of dual-energy computed tomography using convolutional neural network

CONCLUSIONS: SECT images were directly converted to the three parametric maps of DECT (ie, VMIs, EAN, and RED). By using this model, one can generate the parametric information from SECT images without DECT device. Our model can help investigate the parametric information from SECT retrospectively.ADVANCES IN KNOWLEDGE: Deep learning framework enables converting SECT to various high-quality parametric maps of DECT.PMID:38597871 | DOI:10.1093/bjr/tqae076
Source: The British Journal of Radiology - Category: Radiology Authors: Source Type: research