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Review
. 2022 Oct 18:2022:4554271.
doi: 10.1155/2022/4554271. eCollection 2022.

Review of the Research Progress of Human Brain Oxygen Extraction Fraction by Magnetic Resonance Imaging

Affiliations
Review

Review of the Research Progress of Human Brain Oxygen Extraction Fraction by Magnetic Resonance Imaging

Zini Jian et al. Oxid Med Cell Longev. .

Abstract

In recent years, the incidence of cerebrovascular diseases (CVD) is increasing, which seriously endangers human health. The study on hemodynamics of cerebrovascular disease can help us to understand, prevent, and treat the disease. As one of the important parameters of human cerebral hemodynamics and tissue metabolism, OEF (oxygen extraction fraction) is of great value in central nervous system diseases. The use of BOLD (blood oxygen level dependent) effect offers the possibility to study cerebral hemodynamic and metabolic characteristics by MRI (magnetic resonance imaging) measurements. Therefore, this paper reviews the hemodynamic parameters of brain tissue, discusses the principles and methods of quantitative BOLD-based MRI measurements of OEF, and discusses the advantages and disadvantages of each method.

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Conflict of interest statement

The authors declare that there is no conflict of interests regarding the publication of this paper.

Figures

Figure 1
Figure 1
The relationship between the parameters of cerebral hemodynamics.
Figure 2
Figure 2
Hemodynamic changes in brain activity [43].
Figure 3
Figure 3
GESSE sequence timing diagram.
Figure 4
Figure 4
GESSE sequence K space filling method.
Figure 5
Figure 5
The image with phase error acquired by using positive and negative gradient echo.
Figure 6
Figure 6
Phase error-free images acquired with unipolar gradient acquisition.
Figure 7
Figure 7
MEGESE sequence diagram.
Figure 8
Figure 8
ASE-EPI sequence diagram.
Figure 9
Figure 9
Schematic diagram of TRUST technology pulse sequence.
Figure 10
Figure 10
QUIXOTIC sequence diagram.

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References

    1. Feng X., Ge Y., Lu H. Noninvasive quantification of whole-brain cerebral metabolic rate of oxygen (CMRO2) by MRI. Magnetic Resonance in Medicine . 2009;62(1):141–148. doi: 10.1002/mrm.21994. - DOI - PMC - PubMed
    1. Sheng X. MR OEF imaging in MELAS. Methods in Enzymology . 2014;547:433–444. doi: 10.1016/B978-0-12-801415-8.00021-7. - DOI - PubMed
    1. Raichle M. E., Gusnard D. A. Appraising the brain's energy budget. Proceedings of the National Academy of Sciences of the United States of America . 2002;99(16):10237–10239. doi: 10.1073/pnas.172399499. - DOI - PMC - PubMed
    1. Cho J., Zhang S., Kee Y., et al. Cluster analysis of time evolution (CAT) for quantitative susceptibility mapping (QSM) and quantitative blood oxygen level-dependent magnitude (qBOLD)-based oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2) mapping. Magnetic Resonance in Medicine . 2020;83(3):844–857. doi: 10.1002/mrm.27967. - DOI - PMC - PubMed
    1. Stadlbauer A., Zimmermann M., Kitzwögerer M., et al. MR imaging-derived oxygen metabolism and neovascularization characterization for grading and IDH gene mutation detection of gliomas. Radiology . 2017;283(3):799–809. doi: 10.1148/radiol.2016161422. - DOI - PubMed