A measurement setup for direct 17O MRI at 7 T
An efficient breathing system was designed for direct 17O MRI to perform oxygen metabolism studies of the human brain. The breathing system consists of a demand oxygen delivery device for 17O2 supply and a custom-built re-breathing circuit with pneumatic switching valve. To efficiently deliver the 1...
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| Main Authors: | , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
[October 2011]
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| In: |
Magnetic resonance in medicine
Year: 2011, Volume: 66, Issue: 4, Pages: 1109-1115 |
| ISSN: | 1522-2594 |
| DOI: | 10.1002/mrm.22871 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1002/mrm.22871 Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.22871 |
| Author Notes: | Stefan H. Hoffmann, Paul Begovatz, Armin M. Nagel, Reiner Umathum, Kai Schommer, Peter Bachert, and Michael Bock |
| Summary: | An efficient breathing system was designed for direct 17O MRI to perform oxygen metabolism studies of the human brain. The breathing system consists of a demand oxygen delivery device for 17O2 supply and a custom-built re-breathing circuit with pneumatic switching valve. To efficiently deliver the 17O gas to the alveoli of the lungs, the system applies short gas pulses upon an inspiration trigger via a nasal cannula. During and after 17O2 administration, the exhaled gas volumes are stored and filtered in the re-breathing section to make the most efficient use of the rare 17O gas. In an inhalation experiment, 2.2 ± 0.1 L of 70%-enriched 17O2 were administered to a healthy volunteer and direct 17O MRI was performed for a total imaging time of 38 min with a temporal resolution of 50 s per 3D data set. Mapping of the maximum signal increase was carried out showing regional variations of oxygen concentration of up to 30% over the natural abundance of 17O water. Magn Reson Med, 2011. © 2011 Wiley-Liss, Inc. |
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| Item Description: | First published: 09 March 2011 Die 17 im Titel ist hochgestellt Gesehen am 11.07.2022 |
| Physical Description: | Online Resource |
| ISSN: | 1522-2594 |
| DOI: | 10.1002/mrm.22871 |