TY - JOUR
T1 - Standardization of neurophysiology signal data into the DICOM® standard
AU - Halford, Jonathan J.
AU - Clunie, David A.
AU - Brinkmann, Benjamin H.
AU - Krefting, Dagmar
AU - Rémi, Jan
AU - Rosenow, Felix
AU - Husain, Aatif
AU - Fürbass, Franz
AU - Andrew Ehrenberg, J.
AU - Winkler, Silvia
N1 - Publisher Copyright:
© 2021
PY - 2021/4
Y1 - 2021/4
N2 - 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.
AB - 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.
KW - DICOM
KW - Electroencephalogram
KW - Electromyogram
KW - Electrooculogram
KW - Polysomnogram
KW - Standards
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U2 - 10.1016/j.clinph.2021.01.019
DO - 10.1016/j.clinph.2021.01.019
M3 - Review article
C2 - 33662849
AN - SCOPUS:85101807730
SN - 1388-2457
VL - 132
SP - 993
EP - 997
JO - Clinical Neurophysiology
JF - Clinical Neurophysiology
IS - 4
ER -