Impact of late gadolinium enhancement image acquisition resolution on neural network based automatic scar segmentation

Background: Automatic myocardial scar segmentation from late gadolinium enhancement (LGE) images using neural networks promises an alternative to time-consuming and observer-dependent semi-automatic approaches. However, alterations in data acquisition, reconstruction as well as post-processing may c...

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Váldodahkkit:	Tobias Hoh, Isabel Margolis, Jonathan Weine, Thomas Joyce, Robert Manka, Miriam Weisskopf, Nikola Cesarovic, Maximilian Fuetterer, Sebastian Kozerke
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Elsevier 2024-01-01
Ráidu:	Journal of Cardiovascular Magnetic Resonance
Fáttát:	Cardiovascular magnetic resonance LGE imaging Scar quantification Neural networks Deep learning Automatic segmentation
Liŋkkat:	http://www.sciencedirect.com/science/article/pii/S1097664724010226
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