Efficient automated localization of ECoG electrodes in CT images via shape analysis.

Jessica CentracchioAntonio SarnoDaniele EspositoEmilio AndreozziLuigi PavoneGiancarlo Di GennaroMarcello BartoloVincenzo EspositoRoberta MoraceSara CasciatoPaolo Bifulco

Published in: International journal of computer assisted radiology and surgery (2021)

The proposed method accomplishes automated ECoG electrodes localization with unprecedented accuracy and can be easily implemented into existing software for preoperative analysis process. The preliminary yet surprisingly good results achieved for the simultaneous depth and ECoG electrodes recognition are encouraging. Ethical approval n°NCT04479410 by "IRCCS Neuromed" (Pozzilli, Italy), 30th July 2020.

Keyphrases

deep learning
machine learning
high throughput
patients undergoing
carbon nanotubes
magnetic resonance imaging
gold nanoparticles
data analysis