Experience-based SEEG planning: from retrospective data to automated electrode trajectories suggestions

Experience-based SEEG planning: from retrospective data to automated electrode trajectories suggestions

StereoElectroEncephaloGraphy (SEEG) is a minimally invasive technique that consists of the insertion of multiple intracranial electrodes to precisely identify the epileptogenic focus. The planning of electrode trajectories is a cumbersome and time-consuming task. Current approaches to support the pl...

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Bibliographic Details
Main Authors: Davide Scorza, Gaetano Amoroso, Camilo Cortés, Arkaitz Artetxe, Álvaro Bertelsen, Michele Rizzi, Laura Castana, Elena De Momi, Francesco Cardinale, Luis Kabongo
Format: Article
Language:English
Published: Wiley 2018-10-01
Series:Healthcare Technology Letters
Subjects:
medical signal processing
biomedical electrodes
diseases
data mining
neurophysiology
electroencephalography
brain
surgery
medical image processing
radiation therapy
detecting analysing similar plans
planning strategy
main tailored sets
different patient cases
experience-based SEEG planning
retrospective data
automated electrode trajectories suggestions
minimally invasive technique
multiple intracranial electrodes
epileptogenic focus
cumbersome time consuming task
current approaches
planning focus
electrode trajectory optimisation
geometrical constraints
initial electrode set
planning procedure
analyses retrospective planning data
average trajectories
anonymised patients
30 exploratory patterns
61 mean trajectories
average brain space
test set
manual trajectories
insertion angle
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5075

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https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5075

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