Automated Hippocampal Subfield Segmentation at 7T MRI.

Laura E M Wisse Hugo J Kuijf Anita M Werensteijn-Honingh H Wang John Pluta Sandhitsu R Das David A Wolk Jaco J M Zwanenburg Paul A Yushkevich Mirjam I Geerlings

Published in: AJNR. American journal of neuroradiology (2016)

This work demonstrates the feasibility of using a computational technique to automatically label hippocampal subfields and the entorhinal cortex at 7T MRI, with a high accuracy for most subfields that is competitive with the labor-intensive manual segmentation. The software and atlas are publicly available: http://www.nitrc.org/projects/ashs/.

Keyphrases

deep learning
contrast enhanced
convolutional neural network
magnetic resonance imaging
machine learning
single cell
quality improvement
high throughput
computed tomography
temporal lobe epilepsy