Standardization of neurophysiology signal data into the DICOM® standard.


Journal

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
ISSN: 1872-8952
Titre abrégé: Clin Neurophysiol
Pays: Netherlands
ID NLM: 100883319

Informations de publication

Date de publication:
04 2021
Historique:
received: 08 11 2020
revised: 10 01 2021
accepted: 30 01 2021
pubmed: 5 3 2021
medline: 28 8 2021
entrez: 4 3 2021
Statut: ppublish

Résumé

A standard format for neurophysiology data is urgently needed to improve clinical care and promote research data exchange. Previous neurophysiology format standardization projects have provided valuable insights into how to accomplish the project. In medical imaging, the Digital Imaging and Communication in Medicine (DICOM) standard is widely adopted. DICOM offers a unique environment to accomplish neurophysiology format standardization because neurophysiology data can be easily integrated with existing DICOM-supported elements such as video, ECG, and images and also because it provides easy integration into hospital Picture Archiving and Communication Systems (PACS) long-term storage systems. Through the support of the International Federation of Clinical Neurophysiology (IFCN) and partners in industry, DICOM Working Group 32 (WG-32) has created an initial set of standards for routine electroencephalography (EEG), polysomnography (PSG), electromyography (EMG), and electrooculography (EOG). Longer and more complex neurophysiology data types such as high-definition EEG, long-term monitoring EEG, intracranial EEG, magnetoencephalography, advanced EMG, and evoked potentials will be added later. In order to provide for efficient data compression, a DICOM neurophysiology codec design competition will be held by the IFCN and this is currently being planned. We look forward to a future when a common DICOM neurophysiology data format makes data sharing and storage much simpler and more efficient.

Identifiants

pubmed: 33662849
pii: S1388-2457(21)00052-3
doi: 10.1016/j.clinph.2021.01.019
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

993-997

Informations de copyright

Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jonathan J Halford (JJ)

Department of Neurology, Medical University of South Carolina, Charleston, SC, USA. Electronic address: halfordj@musc.edu.

David A Clunie (DA)

PixelMed Publishing, Bangor, PA, USA. Electronic address: dclunie@dclunie.com.

Benjamin H Brinkmann (BH)

Departments of Biomedical Engineering and Neurology, Mayo Clinic, Rochester, MN, USA. Electronic address: Brinkmann.Benjamin@mayo.edu.

Dagmar Krefting (D)

University of Applied Sciences Berlin, Berlin, Germany; Department of Medical Informatics, University Medical Center, Göttingen, Germany. Electronic address: dagmar.krefting@med.uni-goettingen.de.

Jan Rémi (J)

Department of Neurology, Ludwig-Maximilians-University Munich, Munich, Germany. Electronic address: jan.remi@med.uni-muenchen.de.

Felix Rosenow (F)

Department of Neurology, Goethe-Universität Frankfurt am Main, Frankfurt, Germany. Electronic address: rosenow@med.uni-frankfurt.de.

Aatif Husain (A)

Department of Neurology, Duke University Medical Center, Durham, NC, USA. Electronic address: aatif.husain@duke.edu.

Franz Fürbass (F)

Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria. Electronic address: franz.fuerbass@ait.ac.at.

J Andrew Ehrenberg (J)

Nihon Kohden America, Irvine, CA, USA. Electronic address: Andrew_Ehrenberg@nihonkohden.com.

Silvia Winkler (S)

Sigma Software Solutions OG, Vienna, Austria. Electronic address: silvia.winkler@sigmasoft.at.

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