Novel indices representing heterogeneous distributions of myocardial perfusion imaging.

Misato ChimuraTomohito OhtaniFusako SeraRie HiguchiKenji KajitaniKenichi NakajimaYasushi Sakata

Published in: Annals of nuclear medicine (2024)

Heterogeneity in MPI can be evaluated using SD, BW95%, and entropy through histogram analysis. These novel indices may help identify patients with subtle myocardial changes, even in images that show preserved perfusion (345/350).

Keyphrases

contrast enhanced
high resolution
deep learning
left ventricular
single cell
convolutional neural network
magnetic resonance imaging
magnetic resonance
heart failure
computed tomography
atrial fibrillation