Standardization of neurophysiology signal data into the DICOM® standard

被引:19
作者
Halford, Jonathan J. [1 ]
Clunie, David A. [2 ]
Brinkmann, Benjamin H. [3 ]
Krefting, Dagmar [4 ,5 ]
Remi, Jan [6 ]
Rosenow, Felix [7 ]
Husain, Aatif [8 ]
Furbass, Franz [9 ]
Ehrenberg, J. Andrew [10 ]
Winkler, Silvia [11 ]
机构
[1] Med Univ South Carolina, Dept Neurol, Charleston, SC 29425 USA
[2] PixelMed Publishing, Bangor, PA USA
[3] Mayo Clin, Dept Biomed Engn, Rochester, MN USA
[4] Univ Appl Sci Berlin, Berlin, Germany
[5] Univ Med Ctr, Dept Med Informat, Gottingen, Germany
[6] Ludwig Maximilians Univ Munchen, Dept Neurol, Munich, Germany
[7] Goethe Univ Frankfurt Main, Dept Neurol, Frankfurt, NC, Germany
[8] Duke Univ, Dept Neurol, Med Ctr, Durham, NC USA
[9] AIT Austrian Inst Technol GmbH, Ctr Hlth & Bioresources, Vienna, Austria
[10] Nihon Kohden Amer, Irvine, CA USA
[11] Sigma Software Solut OG, Vienna, Austria
关键词
Electroencephalogram; Polysomnogram; Electromyogram; Electrooculogram; Standards; DICOM;
D O I
10.1016/j.clinph.2021.01.019
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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. Published by Elsevier B.V. on behalf of International Federation of Clinical Neurophysiology.
引用
收藏
页码:993 / 997
页数:5
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