Temporal clustering, tissue composition, and total variation for mapping oxygen extraction fraction using QSM and quantitative BOLD.
Temporal clustering, tissue composition, and total variation for mapping oxygen extraction fraction using QSM and quantitative BOLD.
复制标题
使用QSM和定量BOLD的时间聚类,组织组成和映射氧气萃取分数的总变化。
DOI:
10.1002/mrm.28875
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发表时间:
2021-11
影响因子:
3.3
通讯作者:
Wang, Yi
中科院分区:
文献类型:
--
作者:
Cho, Junghun;Spincemaille, Pascal;Nguyen, Thanh D.;Gupta, Ajay;Wang, Yi
关键词:
To improve the accuracy of quantitative susceptibility mapping plus quantitative blood oxygen level-dependent magnitude (QSM+qBOLD or QQ) based mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2) using temporal clustering, tissue composition, and total variation (CCTV). Three-dimensional multi-echo gradient echo and arterial spin labeling images were acquired from 11 healthy subjects and 33 ischemic stroke patients. Diffusion-weighted imaging (DWI) was also obtained from patients. The CCTV mapping was developed for incorporating tissue-type information into clustering of the previous cluster analysis of time evolution (CAT) and applying total variation (TV). The QQ-based OEF and CMRO2 were reconstructed with CAT, CAT+TV (CATV), and the proposed CCTV, and results were compared using region-of-interest analysis, Kruskal-Wallis test, and post hoc Wilcoxson rank sum test. In simulation, CCTV provided more accurate and precise OEF than CAT or CATV. In healthy subjects, QQ-based OEF was less noisy and more uniform with CCTV than CAT. In subacute stroke patients, OEF with CCTV had a greater contrast-to-noise ratio between DWI-defined lesions and the unaffected contralateral side than with CAT or CATV: 1.9 ± 1.3 versus 1.1 ± 0.7 () versus 0.7 ± 0.5 (). The CCTV mapping significantly improves the robustness of QQ-based OEF against noise.
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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:
3.3
作者:
Cho J;Kee Y;Spincemaille P;Nguyen TD;Zhang J;Gupta A;Zhang S;Wang Y
通讯作者:
Wang Y
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:
Cho J;Ma Y;Spincemaille P;Pike GB;Wang Y
通讯作者:
Wang Y
DOI:
10.1111/j.2517-6161.1995.tb02031.x
发表时间:
1995-01-01
影响因子:
5.8
作者:
BENJAMINI, Y;HOCHBERG, Y
通讯作者:
HOCHBERG, Y