Cardiac cine-MRI is one of the most important diagnostic tools used to assess the morphology and physiology of the heart during the cardiac cycle. Nonetheless, the analysis on cardiac cine-MRI is poorly exploited and remains highly dependent on the observer"s expertise. This work introduces an imaging cardiac disease representation, coded as an embedding vec- tor, that fully exploits hidden mapping between the latent space and a generated cine-MRI data distribution...
Año: 2022
ISSN: ---
Revista: Biomedical Engineering Letters