Title
Automated Identification Of Intracranial Depth Electrodes In Computed Tomography Data
Abstract
Intracranial depth electrodes are commonly used to identify the regions of the brain that are responsible for epileptic seizures. Knowledge of the exact location of the electrodes is important as to properly interpret the EEG in relation to the anatomy. In order to provide fast and accurate identification of these electrodes, a procedure has been developed for automatic detection and localization in computed tomography data. Results indicate that in the vast majority of cases the depth electrodes can be automatically found. The localization of the electrodes versus the anatomy showed an acceptably small error when compared to manual positioning. Furthermore, interactive visualization software is developed to show the detected electrodes together with pre-operative MRI images, which enables the physician to confirm that the electrode is placed at the expected anatomical location.
Year
Venue
Keywords
2015
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
Computer-aided detection and diagnosis (CAD), Visualization, Computed tomography (CT)
Field
DocType
ISSN
Anatomical location,Computer vision,Computer science,Software,Interactive visualization,Artificial intelligence,Computed tomography,Electrode,Electroencephalography,Magnetic resonance imaging
Conference
1945-7928
Citations 
PageRank 
References 
1
0.37
1
Authors
8
Name
Order
Citations
PageRank
Stephan P. L. Meesters110.37
Ossenblok P P W2406.50
Albert J. Colon310.37
Olaf Schijns410.37
L. M. J. Florack51212210.47
Paul Boon6389.21
Louis Wagner710.37
Andrea Fuster8357.45