Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending.

Alejandro Granados MartinezVejay VakhariaRoman RodionovMartin SchweigerSjoerd B VosAidan G O'KeeffeKuo LiChengyuan WuAnna MiserocchiAndrew W McEvoyMatthew J ClarksonJohn S DuncanRachel SparksSébastien Ourselin

Published in: International journal of computer assisted radiology and surgery (2018)

We present a method robust to electrode bending that can accurately segment contact positions and bolt orientation. The techniques presented in this paper will allow further characterisation of bending within different brain regions.

Keyphrases

deep learning
carbon nanotubes
machine learning
white matter
solid state
resting state
reduced graphene oxide
cerebral ischemia