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

PURPOSE: The accurate and automatic localisation of SEEG electrodes is crucial for determining the location of epileptic seizure onset. We propose an algorithm for the automatic segmentation of electrode bolts and contacts that accounts for electrode bending in relation to regional brain anatomy. ME...

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Bibliografski detalji
Izdano u:Int J Comput Assist Radiol Surg
Glavni autori: Granados, Alejandro, Vakharia, Vejay, Rodionov, Roman, Schweiger, Martin, Vos, Sjoerd B., O’Keeffe, Aidan G., Li, Kuo, Wu, Chengyuan, Miserocchi, Anna, McEvoy, Andrew W., Clarkson, Matthew J., Duncan, John S., Sparks, Rachel, Ourselin, Sébastien
Format: Artigo
Jezik:Inglês
Izdano: Springer International Publishing 2018
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5973981/
https://ncbi.nlm.nih.gov/pubmed/29736800
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-018-1740-8
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