학술논문

Simultaneous PET-MR-EEG: Technology, Challenges and Application in Clinical Neuroscience
Document Type
Periodical
Source
IEEE Transactions on Radiation and Plasma Medical Sciences IEEE Trans. Radiat. Plasma Med. Sci. Radiation and Plasma Medical Sciences, IEEE Transactions on. 3(3):377-385 May, 2019
Subject
Nuclear Engineering
Engineered Materials, Dielectrics and Plasmas
Bioengineering
Computing and Processing
Fields, Waves and Electromagnetics
Electroencephalography
Magnetic resonance imaging
Vibrations
Protocols
Positron emission tomography
Data acquisition
Electrodes
Biomarkers
electroencephalography (EEG)
magnetic resonance imaging (MRI)
positron emission tomography (PET)
Language
ISSN
2469-7311
2469-7303
Abstract
Due to technological developments in positron emission tomography (PET) detectors and PET-MR integration, the simultaneous measurement of PET-MR-EEG has become feasible, offering the possibility of exploring the complementary information provided by each modality. Studies have already shown the benefits of simultaneous measurement using PET-MR, however, such achievements come with different technical and practical challenges. In this context, we aim to give an overview of the technical challenges involved in integrating electroencephalography with hybrid PET-MR scanners and demonstrate possible solutions. When acquiring simultaneous data from multiple modalities, the data acquisition protocol should be optimized in order to utilize time and complementary information most effectively. Thus, practical considerations with regard to protocol optimization are also discussed, alongside relevant examples. In addition to simultaneous data acquisition, another major challenge is the integration of the multimodal data, which is also addressed. Finally, a clinical application with a strong focus on neuro-psychiatry is shown. This clinical application is discussed with relevant examples from an ongoing clinical study. Finally, the possibility of utilizing the PET-MR-EEG data in search for new biomarkers for individualized medicine in clinical neuroscience is briefly explored.