SEEG assistant: a 3DSlicer extension to support epilepsy surgery

201792 citationsJournal Articlegold Open Access

Authors

Massimo Narizzano · University of Genoa

Gabriele Arnulfo · University of Genoa

Serena Ricci · CUNY School of Law

Benedetta Toselli · University of Genoa

Martin Tisdall · Great Ormond Street Hospital for Children NHS Foundation Trust

Andrea Canessa · University of Genoa

Marco Fato ·

Abstract

The SEEG Assistant Framework for the first time supports physicists by providing a set of open-source tools for post-implant processing of SEEG data. Furthermore, SEEG Assistant has been integrated into 3D Slicer, a software platform for the analysis and visualization of medical images, overcoming limitations of command-line tools.

Topics & Keywords

Functional Brain Connectivity Studies EEG and Brain-Computer Interfaces Advanced MRI Techniques and Applications

UN Sustainable Development Goals

Reduced inequalitiesPeace, Justice and strong institutions

Publication Details

Published in: BMC Bioinformatics

Volume 18, Issue 1, pp. 124-124

DOI: 10.1186/s12859-017-1545-8

Field-Weighted Citation Impact: 3.56