Fully automatic 3D segmentation of the thoracolumbar spinal cord and the vertebral canal from T2-weighted MRI using K-means clustering algorithm.

Sahar SabaghianHamed DehghaniSeyed Amir Hossein BatouliAli KhatibiMohammad Ali Oghabian

Published in: Spinal cord (2020)

The output with similar protocols showed that K-Seg results match the manual segmentation better than the other methods especially on the thoracolumbar levels in the spinal cord due to the low image contrast as a result of poor SNR in these areas.

Keyphrases

deep learning
spinal cord
contrast enhanced
convolutional neural network
magnetic resonance
neuropathic pain
spinal cord injury
magnetic resonance imaging
machine learning
computed tomography
diffusion weighted imaging
bone mineral density
rna seq
network analysis
body composition