• DocumentCode
    724976
  • Title

    Automated identification of intracranial depth electrodes in computed tomography data

  • Author

    Meesters, Stephan ; Ossenblok, Pauly ; Colon, Albert ; Schijns, Olaf ; Florack, Luc ; Boon, Paul ; Wagner, Louis ; Fuster, Andrea

  • fYear
    2015
  • fDate
    16-19 April 2015
  • Firstpage
    976
  • Lastpage
    979
  • 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.
  • Keywords
    biomedical MRI; biomedical electrodes; computerised tomography; electroencephalography; medical disorders; EEG; MRI images; anatomy; brain region; computed tomography data; electrode localization; epileptic seizure; intracranial depth electrode identification; visualization software; Computed tomography; Electrodes; Electroencephalography; Epilepsy; Fasteners; Magnetic resonance imaging; Three-dimensional displays; Computed tomography (CT); Computer-aided detection and diagnosis (CAD); Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
  • Conference_Location
    New York, NY
  • Type

    conf

  • DOI
    10.1109/ISBI.2015.7164034
  • Filename
    7164034