Multimodal Simultaneous MR-PET Imaging
Irene Neuner1,2

1Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital RWTH Aachen, Germany, 2INM4, JARA-BRAIN, Forschungszentrum Juelich, Juelich, Germany

Synopsis

Simultaneous measurement of PET-MR-EEG has become feasible now a day with the aim of best utilizing the complementary information provided by each modality. Several studies have already shown the possibility of simultaneous measurement of PET-MR-EEG. However such possibility comes with technical and practical challenges. To that extent, we aim to give an overview about the technical challenges in integrating EEG in to hybrid PET-MR scanners and with possible solutions.

Simultaneous measurement of PET-MR-EEG has become feasible now a day with the aim of best utilizing the complementary information provided by each modality. Several studies have already shown the possibility of simultaneous measurement of PET-MR-EEG. However such possibility comes with technical and practical challenges. To that extent, we aim to give an overview about the technical challenges in integrating EEG in to hybrid PET-MR scanners and with possible solutions. While acquiring simultaneous data from multiple modalities, the data acquisition protocol should also be optimised to best utilize the time and complementary information. Thus practical considerations with regard to protocol optimization is also discussed with relevant examples. After simultaneous data acquisition, the major challenge is the multimodal data integration. Hence an overview about the same is also given. Finally, clinical applications with solid focus on neuro-psychiatry and neuro-oncology are also discussed. Clinical applications are discussed with relevant examples from ongoing clinical studies and possibilities of utilizing the PET-MR-EEG data in search new biomarkers for individualised medicine in clinical neuroscience.

Acknowledgements

No acknowledgement found.

References

No reference found.
Proc. Intl. Soc. Mag. Reson. Med. 26 (2018)