Hagio, T., Poitrasson-Rivière, A., Moody, J.B. et al. “Virtual” attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning. Eur J Nucl Med Mol Imaging 49, 3140–3149 (2022).
Description:
This study presents a novel deep learning algorithm that generates virtual attenuation-corrected myocardial perfusion imaging (MPI) maps from non-attenuation-corrected (NAC) data.
Clinical Relevance:
The deep learning approach enhances the diagnostic accuracy of MPI for coronary artery disease by providing reliable attenuation correction, potentially reducing the need for additional imaging.
Partners in Research:
INVIA Medical Imaging Solutions, the University of Michigan, and Massachusetts General Hospital collaborated on this research.
