Dataset Information

Cerebral metabolic rate of oxygen (CMRO₂ ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD).

ABSTRACT:

Purpose

To map the cerebral metabolic rate of oxygen (CMRO₂ ) by estimating the oxygen extraction fraction (OEF) from gradient echo imaging (GRE) using phase and magnitude of the GRE data.

Theory and methods

3D multi-echo gradient echo imaging and perfusion imaging with arterial spin labeling were performed in 11 healthy subjects. CMRO₂ and OEF maps were reconstructed by joint quantitative susceptibility mapping (QSM) to process GRE phases and quantitative blood oxygen level-dependent (qBOLD) modeling to process GRE magnitudes. Comparisons with QSM and qBOLD alone were performed using ROI analysis, paired t-tests, and Bland-Altman plot.

Results

The average CMRO₂ value in cortical gray matter across subjects were 140.4 ± 14.9, 134.1 ± 12.5, and 184.6 ± 17.9 μmol/100 g/min, with corresponding OEFs of 30.9 ± 3.4%, 30.0 ± 1.8%, and 40.9 ± 2.4% for methods based on QSM, qBOLD, and QSM+qBOLD, respectively. QSM+qBOLD provided the highest CMRO₂ contrast between gray and white matter, more uniform OEF than QSM, and less noisy OEF than qBOLD.

Conclusion

Quantitative CMRO₂ mapping that fits the entire complex GRE data is feasible by combining QSM analysis of phase and qBOLD analysis of magnitude.

SUBMITTER: Cho J

PROVIDER: S-EPMC6097883 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Publications

Cerebral metabolic rate of oxygen (CMRO<sub>2</sub> ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD).

Cho Junghun J Kee Youngwook Y Spincemaille Pascal P Nguyen Thanh D TD Zhang Jingwei J Gupta Ajay A Zhang Shun S Wang Yi Y

Magnetic resonance in medicine 20180307 4

<h4>Purpose</h4>To map the cerebral metabolic rate of oxygen (CMRO<sub>2</sub> ) by estimating the oxygen extraction fraction (OEF) from gradient echo imaging (GRE) using phase and magnitude of the GRE data.<h4>Theory and methods</h4>3D multi-echo gradient echo imaging and perfusion imaging with arterial spin labeling were performed in 11 healthy subjects. CMRO<sub>2</sub> and OEF maps were reconstructed by joint quantitative susceptibility mapping (QSM) to process GRE phases and quantitative bl ...[more]

PMID: 29516537

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Dataset Information

Cerebral metabolic rate of oxygen (CMRO₂ ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD).

Purpose

Theory and methods

Results

Conclusion

Publications

Cerebral metabolic rate of oxygen (CMRO<sub>2</sub> ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD).

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Cerebral metabolic rate of oxygen (CMRO2 ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD).

Purpose

Theory and methods

Results

Conclusion

Publications

Cerebral metabolic rate of oxygen (CMRO<sub>2</sub> ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD).

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Cerebral metabolic rate of oxygen (CMRO₂ ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD).