Journal article
A streamlined acquisition for mapping baseline brain oxygenation using quantitative BOLD.
- Abstract:
-
Quantitative BOLD (qBOLD) is a non-invasive MR technique capable of producing quantitative measurements of the haemodynamic and metabolic properties of the brain. Here we propose a refinement of the qBOLD methodology, dubbed streamlined-qBOLD, in order to provide a clinically feasible method for mapping baseline brain oxygenation. In streamlined-qBOLD confounding signal contributions are minimised during data acquisition through the application of (i) a Fluid Attenuated Inversion Recovery (FLAIR) preparation to remove cerebral spinal fluid (CSF) signal contamination, (ii) a Gradient Echo Slice Excitation Profile Imaging (GESEPI) acquisition to reduce the effect of macroscopic magnetic field gradients and (iii) an Asymmetric Spin Echo (ASE) pulse sequence to directly measure the reversible transverse relaxation rate, R2′. Together these features simplify the application of the qBOLD model, improving the robustness of the resultant parametric maps. A theoretical optimisation framework was used to optimise acquisition parameters in relation to signal to noise ratio. In a healthy subject group (n = 7) apparent elevations in R2′ caused by partial volumes of CSF were shown to be reduced with the application of CSF nulling. Significant decreases in R2′ (p < 0.001) and deoxygenated blood volume (p < 0.01) were seen in cortical grey matter, across the group, with the application of CSF suppression. Quantitative baseline brain oxygenation parameter maps were calculated using qBOLD modelling and compared with literature values.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 1.0MB, Terms of use)
-
- Publisher copy:
- 10.1016/j.neuroimage.2016.11.057
Authors
- Publisher:
- Elsevier
- Journal:
- Neuroimage More from this journal
- Volume:
- 147
- Pages:
- 79-88
- Publication date:
- 2016-11-30
- Acceptance date:
- 2016-11-22
- DOI:
- ISSN:
-
1053-8119 and 1095-9572
- Language:
-
English
- Keywords:
- Pubs id:
-
pubs:666410
- UUID:
-
uuid:b12bd419-58a0-4de5-9d31-7843671abfdf
- Local pid:
-
pubs:666410
- Source identifiers:
-
666410
- Deposit date:
-
2017-01-05
Terms of use
- Copyright holder:
- Blockley and Stone
- Copyright date:
- 2016
- Notes:
- © 2016 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/)
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record