High resolution automated labeling of the hippocampus and amygdala using a 3D convolutional neural network trained on whole brain 700 μm isotropic 7T MP2RAGE MRI

Image labeling using convolutional neural networks (CNNs) are a template-free alternative to traditional morphometric techniques. We trained a 3D deep CNN to label the hippocampus and amygdala on whole brain 700 μm isotropic 3D MP2RAGE MRI acquired at 7T. Manual labels of the hippocampus and amygdal...

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Bibliographic Details
Main Authors:	Antony, A.R (Author), Bagić, A.I (Author), Devinsky, O. (Author), Friedman, D. (Author), Hetherington, H. (Author), Pan, J. (Author), Pardoe, H.R (Author), Shepherd, T.M (Author)
Format:	Article
Language:	English
Published:	John Wiley and Sons Inc 2021
Subjects:	adult Adult amygdala Amygdala anatomy and histology arachnoid cyst Article artificial intelligence brain Brain brain size clinical article controlled study convolutional neural network cortical dysplasia deep learning Deep Learning diagnostic imaging dorsal hippocampus drug resistant epilepsy epilepsy Epilepsy epileptic patient female Female focal epilepsy high field MRI hippocampal sclerosis hippocampus Hippocampus human Humans image processing Image Processing, Computer-Assisted image segmentation laser surgery leave one out cross validation left hippocampus Magnetic Resonance Imaging male Male middle aged Middle Aged morphometry neuroimaging Neuroimaging nuclear magnetic resonance imaging pathology posterior fossa priority journal procedures right hippocampus segmentation temporal lobe temporal lobe epilepsy three-dimensional imaging whole body MRI
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High resolution automated labeling of the hippocampus and amygdala using a 3D convolutional neural network trained on whole brain 700 μm isotropic 7T MP2RAGE MRI

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