Hippocampus segmentation on high resolution dffusion MRI
diffusion weighted imaging, brain, image segmentation
We introduce the first hippocampus segmentation method for a novel high resolution (1×1×1mm3) diffusion tensor imaging (DTI) protocol acquired in 5.5 minutes at 3T. A new augmentation technique uses subsets of the DTI dataset to create mean diffusion weighted images (DWI) with plausible noise and contrast variations. The augmented DWI along with fractional anisotropy (FA) and mean diffusivity (MD) maps are used as inputs to a powerful convolutional neural network architecture. The method is evaluated for robustness using a second diffusion protocol.
Efird C., Neumann S., Solar K., Beaulieu C., Cobzas D. "Hippocampus Segmentation on High Resolution Diffusion MRI" International Symposium on Biomedical Imaging, 2021 DOI: 10.1109/ISBI48211.2021
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