Skip to main content

Research Repository

Advanced Search

Improving the specificity of R2? to the deoxyhaemoglobin content of brain tissue: Prospective correction of macroscopic magnetic field gradients

Blockley, Nicholas P.; Stone, Alan J.

Authors

Alan J. Stone



Abstract

The reversible transverse relaxation rate, R2?, is sensitive to the deoxyhaemoglobin content of brain tissue, enabling information about the oxygen extraction fraction to be obtained. However, R2? is also sensitive to macroscopic magnetic field gradients, particularly at air-tissue interfaces where a large susceptibility difference is present. It is important that this latter effect is minimised in order to produce meaningful estimates of blood oxygenation. Therefore, the aim of this study was to implement a technique to prospectively correct for the effect of susceptibility induced magnetic field gradients on R2? weighted data. This was achieved by combining the Gradient-Echo Slice Excitation Profile Imaging (GESEPI) technique with an Asymmetric Spin Echo (ASE) pulse sequence. The main advantages of this approach are (i) shorter acquisition times, since a separately acquired magnetic field map is not required and (ii) simpler analysis, since retrospective correction for the effects of magnetic field gradients in postprocessing is not required. In these experiments we show that with this newly developed technique it is possible to correct the majority of grey matter voxels for the expected distribution of through-slice magnetic field gradients to produce maps of R2? in a short scan duration.

Citation

Blockley, N. P., & Stone, A. J. (2016). Improving the specificity of R2? to the deoxyhaemoglobin content of brain tissue: Prospective correction of macroscopic magnetic field gradients. NeuroImage, 135, 253-260. https://doi.org/10.1016/j.neuroimage.2016.04.013

Journal Article Type Article
Acceptance Date Apr 6, 2018
Online Publication Date May 3, 2016
Publication Date Jul 15, 2016
Deposit Date Dec 10, 2018
Publicly Available Date Jan 17, 2019
Journal NeuroImage
Print ISSN 1053-8119
Electronic ISSN 1095-9572
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 135
Pages 253-260
DOI https://doi.org/10.1016/j.neuroimage.2016.04.013
Keywords Cognitive Neuroscience; Neurology
Public URL https://nottingham-repository.worktribe.com/output/1379442
Publisher URL https://www.sciencedirect.com/science/article/pii/S1053811916300465?via%3Dihub

Files



You might also like



Downloadable Citations