Quantitative susceptibility mapping in the human fetus to measure blood oxygenation in the superior sagittal sinus.
Quantitative susceptibility mapping in the human fetus to measure blood oxygenation in the superior sagittal sinus.
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DOI:
10.1007/s00330-018-5735-1
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发表时间:
2019-04
影响因子:
5.9
通讯作者:
Neelavalli J
中科院分区:
文献类型:
--
作者:
Yadav BK;Buch S;Krishnamurthy U;Jella P;Hernandez-Andrade E;Trifan A;Yeo L;Hassan SS;Mark Haacke E;Romero R;Neelavalli J
To present the feasibility of performing quantitative susceptibility mapping (QSM) in the human fetus to evaluate the oxygenation (SvO2) of cerebral venous blood in-vivo. Susceptibility weighted imaging (SWI) data was acquired from healthy pregnant subjects (n=21, median=31.3weeks, IQR=8.8weeks). The susceptibility maps were generated from the SWI-phase images using a modified QSM processing pipeline, optimized for fetal applications. The processing pipeline is as follows: (1) mild high-pass filtering followed by quadratic fitting of the phase images to eliminate background phase variations; (2) manual creation of a fetal brain mask that includes the superior sagittal sinus (SSS); and (3) inverse filtering of the resultant masked phase images using a truncated k-space approach with geometric constraint. Further, the magnetic susceptibility, Δχv and corresponding putative SvO2 of the SSS were quantified from the generated susceptibility maps. Systematic error in the measured SvO2 due to the modified pipeline was also studied through simulations. Simulations showed that the systematic error in SvO2 when using a mask that includes a minimum of 5 voxels around the SSS and 5 slices remains <3% for different orientations of the vessel relative to the main magnetic field. The average Δχv in the SSS quantified across all gestations was 0.42±0.03 ppm. Based on Δχv, the average putative SvO2 in the SSS across all fetuses was 67%±7%, which is in good agreement with published studies. This in-vivo study demonstrates the feasibility of using QSM in the human fetal brain to estimate Δχv and SvO2.
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影响因子:
2.1
作者:
Gunn AJ;Bennet L
通讯作者:
Bennet L
影响因子:
4.4
作者:
Haacke, E. M.;Tang, J.;Neelavalli, J.;Cheng, Y. C. N.
通讯作者:
Cheng, Y. C. N.
DOI:
10.1016/s0002-9378(85)80205-2
发表时间:
1985-01-01
影响因子:
9.8
作者:
LOW, JA;GALBRAITH, RS;KARCHMAR, EJ
通讯作者:
KARCHMAR, EJ
影响因子:
2.2
作者:
BOULOT, P;CATTANEO, A;VIALA, JL
通讯作者:
VIALA, JL
影响因子:
2.9
作者:
Deistung, Andreas;Schweser, Ferdinand;Reichenbach, Juergen R.
通讯作者:
Reichenbach, Juergen R.