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Fig. 4 | Journal of Cardiovascular Magnetic Resonance

Fig. 4

From: Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping

Fig. 4

Demonstration of phase unwrapping of DENSE images (column a) using a semantic-segmentation U-Net, and comparison with the path-following method. For DENSE images with typical SNR (top two rows), the semantic segmentation U-Net correctly identified wrapped pixels (column b). Both the U-Net and the path-following methods performed phase unwrapping without errors (top two rows, columns c, d). For low-SNR data (bottom two rows), the U-Net successfully performed semantic segmentation and phase unwrapping, however the path-following method led to large phase-unwrapping errors, which are also depicted in wrap cycle maps (e)

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