Cerebral metabolic rate of oxygen (CMRO(2) ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD).
Cerebral metabolic rate of oxygen (CMRO(2) ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD).
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DOI：
10.1002/mrm.27135
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发表时间：
2018-10
影响因子：
3.3
通讯作者：
Wang Y
中科院分区：
文献类型：
--
作者：
Cho J;Kee Y;Spincemaille P;Nguyen TD;Zhang J;Gupta A;Zhang S;Wang Y
通过利用梯度回波成像(GRE)数据的相位和大小估计GRE的氧提取分数(OEF)来绘制脑氧代谢率(CMRO2)。对11例健康受试者进行了3D多回波梯度回波成像和动脉自旋标记灌注成像。通过联合定量磁化率图(QSM)处理GRE时相和定量血氧水平依赖(QBOLD)模型处理GRE大小，重建CMRO2和OEF图。使用ROI分析、配对t检验和Bland-Altman图与QSM和QBOLD单独进行比较。受试者大脑皮质灰质的平均CMRO2值分别为140.4±14.9、134.1±12.5、184.6±17.9µm ol/100g/min，相应的OEF分别为30.9±3.4%、30.0±1.8%、40.9±2.4%。QSM+qBOLD在灰质和白质之间提供最高的CMRO2对比度，比QSM更均匀的OEF，比qBOLD更低的噪声。结合QSM的相位分析和QBOLD的震级分析，可以实现适合整个复杂GRE数据的定量CMRO2填图。
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. 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. The average CMRO2 value in cortical gray matter across subjects were 140.4 ± 14.9, 134.1 ± 12.5, 184.6 ± 17.9 µmol/100g/min, with corresponding OEFs of 30.9 ± 3.4%, 30.0 ± 1.8%, 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. Quantitative CMRO2 mapping that fits the entire complex GRE data is feasible by combining QSM analysis of phase and qBOLD analysis of magnitude.
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影响因子：
3.7
作者：
Acosta-Cabronero J;Williams GB;Cardenas-Blanco A;Arnold RJ;Lupson V;Nestor PJ
通讯作者：
Nestor PJ
影响因子：
10.2
作者：
HANSEN, PC
通讯作者：
HANSEN, PC
影响因子：
5.7
作者：
Jenkinson, M;Bannister, P;Smith, S
通讯作者：
Smith, S
影响因子：
3.3
作者：
An, HY;Lin, WL
通讯作者：
Lin, WL
影响因子：
3.3
作者：
He, Xiang;Yablonskiy, Dmitriy A.
通讯作者：
Yablonskiy, Dmitriy A.