Automated identification of intracranial depth electrodes in computed tomography data

Stephan P. L. Meesters; Pauly P. W. Ossenblok; Albert J. Colon; Olaf Schijns; Luc Florack; Paul A. J. M. Boon; G. Louis Wagner; Andrea Fuster

doi:10.1109/ISBI.2015.7164034

Automated identification of intracranial depth electrodes in computed tomography data

Stephan P. L. Meesters, Pauly P. W. Ossenblok, Albert J. Colon, Olaf Schijns, Luc Florack, Paul A. J. M. Boon, G. Louis Wagner, Andrea Fuster

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

23 Downloads (Pure)

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.

Original language	English
Title of host publication	2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015, Brooklyn NY, USA, April 16-19, 2015)
Publisher	Institute of Electrical and Electronics Engineers
Pages	976-979
Number of pages	4
ISBN (Print)	978-1-4799-2374-8
DOIs	https://doi.org/10.1109/ISBI.2015.7164034
Publication status	Published - 2015
Event	12th IEEE International Symposium on Biomedical Imaging (ISBI 2015) - Brooklyn, United States Duration: 16 Apr 2015 → 19 Apr 2015 Conference number: 12

Conference

Conference	12th IEEE International Symposium on Biomedical Imaging (ISBI 2015)
Abbreviated title	ISBI 2015
Country/Territory	United States
City	Brooklyn
Period	16/04/15 → 19/04/15

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10.1109/ISBI.2015.7164034

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Meesters, S. P. L., Ossenblok, P. P. W., Colon, A. J., Schijns, O., Florack, L., Boon, P. A. J. M., Wagner, G. L., & Fuster, A. (2015). Automated identification of intracranial depth electrodes in computed tomography data. In 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015, Brooklyn NY, USA, April 16-19, 2015) (pp. 976-979). [7164034] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISBI.2015.7164034

@inproceedings{b10c1913fe7e4307a54d749abe8d640e,

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.",

author = "Meesters, {Stephan P. L.} and Ossenblok, {Pauly P. W.} and Colon, {Albert J.} and Olaf Schijns and Luc Florack and Boon, {Paul A. J. M.} and Wagner, {G. Louis} and Andrea Fuster",

year = "2015",

doi = "10.1109/ISBI.2015.7164034",

language = "English",

isbn = "978-1-4799-2374-8",

pages = "976--979",

booktitle = "2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015, Brooklyn NY, USA, April 16-19, 2015)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "12th IEEE International Symposium on Biomedical Imaging (ISBI 2015), ISBI 2015 ; Conference date: 16-04-2015 Through 19-04-2015",

}

Meesters, SPL, Ossenblok, PPW, Colon, AJ, Schijns, O, Florack, L , Boon, PAJM, Wagner, GL & Fuster, A 2015, Automated identification of intracranial depth electrodes in computed tomography data. in 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015, Brooklyn NY, USA, April 16-19, 2015)., 7164034, Institute of Electrical and Electronics Engineers, pp. 976-979, 12th IEEE International Symposium on Biomedical Imaging (ISBI 2015), Brooklyn, United States, 16/04/15. https://doi.org/10.1109/ISBI.2015.7164034

Automated identification of intracranial depth electrodes in computed tomography data. / Meesters, Stephan P. L.; Ossenblok, Pauly P. W.; Colon, Albert J. et al.
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015, Brooklyn NY, USA, April 16-19, 2015). Institute of Electrical and Electronics Engineers, 2015. p. 976-979 7164034.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Automated identification of intracranial depth electrodes in computed tomography data

AU - Meesters, Stephan P. L.

AU - Ossenblok, Pauly P. W.

AU - Colon, Albert J.

AU - Schijns, Olaf

AU - Florack, Luc

AU - Boon, Paul A. J. M.

AU - Wagner, G. Louis

AU - Fuster, Andrea

N1 - Conference code: 12

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

U2 - 10.1109/ISBI.2015.7164034

DO - 10.1109/ISBI.2015.7164034

M3 - Conference contribution

SN - 978-1-4799-2374-8

SP - 976

EP - 979

BT - 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015, Brooklyn NY, USA, April 16-19, 2015)

PB - Institute of Electrical and Electronics Engineers

T2 - 12th IEEE International Symposium on Biomedical Imaging (ISBI 2015)

Y2 - 16 April 2015 through 19 April 2015

ER -

Meesters SPL, Ossenblok PPW, Colon AJ, Schijns O, Florack L , Boon PAJM et al. Automated identification of intracranial depth electrodes in computed tomography data. In 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015, Brooklyn NY, USA, April 16-19, 2015). Institute of Electrical and Electronics Engineers. 2015. p. 976-979. 7164034 doi: 10.1109/ISBI.2015.7164034

Automated identification of intracranial depth electrodes in computed tomography data

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