Reliable segmentation of 2D cardiac magnetic resonance perfusion image sequences using time as the 3rd dimension.

Veit SandfortMatthew JacobsAndrew E AraiLi-Yueh Hsu

Published in: European radiology (2020)

• Reliable segmentation of the myocardium offers the potential to perform pixel level perfusion assessment. • A deep learning approach in combination with motion correction, 3D (2D + time) methods, and a deep temporal connection module produced reliable segmentation results.

Keyphrases

deep learning
convolutional neural network
magnetic resonance
contrast enhanced
artificial intelligence
machine learning
heart failure