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Abstract #2036

Fully automated in-vivo DT-CMR analysis with deep learning

Pedro F Ferreira1,2, Andrew D Scott1,2, Zohya Khalique1, Guang Yang1,2, Sonia Nielles-Vallespin1,2, Dudley J Pennell1,2, and David N Firmin1,2

1Royal Brompton Hospital, London, United Kingdom, 2Imperial College, London, United Kingdom

Currently post-processing of in-vivo DT-CMR data is done off-line as it requires manually input. Two convolutional neural networks (CNN) were trained to classify and segment the LV in order to automate and enable on-the-fly post-processing of DT-CMR data while scanning. The fully automated DT-CMR analysis with deep learning performed effectively with high levels of accuracy when compared to an experienced user.

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