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 - Ehrenberg, J. Andrew
AU - Winkler, Silvia
PY - 2021
Y1 - 2021
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.
U2 - 10.1016/j.clinph.2021.01.019
DO - 10.1016/j.clinph.2021.01.019
M3 - Article
SN - 1388-2457
VL - 4
SP - 993
EP - 997
JO - Clinical Neurophysiology
JF - Clinical Neurophysiology
IS - 132
ER -