Jing Liu1, Yan Wang1, Duan Xu1, Patrick McQuillen1, and Shabnam Peyvandi1
1University of California San Francisco, San Francisco, CA, United States
Synopsis
We developed accelerated 4D MRI and efficient
image processing tool for whole fetal brain oxygenation measurement.
Fetuses
with CHD have lower cerebral oxygenation compared with controls and exhibit an oxygenation increase with maternal
hyperoxia testing while controls exhibit no change.
Introduction
Major
congenital heart defects (CHD) impair cerebral growth, delay cerebral
maturation, and cause neurodevelopmental disorders in children. Studies showed
lower cerebral oxygenation in fetuses with major heart defects compared to that
of fetuses without heart defects based on T2* measurements in the fetal brain
[1]. In this study, we explored T2* mapping for assessing the alterations in
the oxygenation properties of the fetal brain. We evaluated the cerebral
oxygenation in fetuses with and without heart defects, and investigated their
changes before and after maternal hyperoxia (MH). We hypothesized that fetuses
with CHD would have lower cerebral oxygenation compared with controls and that
they would exhibit a greater response to brief administration of maternal
hyperoxia.Methods
A previously developed undersampling
strategy allows accelerated dynamic 3D imaging for a variety of applications
[2]. In this study, we explored it for achieving highly accelerated dynamic 3D (4D)
fetal imaging with multi-echo acquisition for assessing cerebral oxygenation in
fetuses. Our technique allows whole brain T2* measurement by a high frame rate (<15s)
imaging with motion robustness/compensation in a fairly short scan time
(<3mins).
This study was approved by the Institutional
Review Board (IRB) at the University of California San Francisco (UCSF). Written,
informed consent was obtained from all subjects prior to the MR scans. The 4D
MRI was performed on 45 subjects (24 CHD patients and 21 controls) on a 3.0T MR
scanner (GE Healthcare, Waukesha, WI) equipped with a 32-channel coil. 3D
multi-echo SPGR acquisition was applied at base and after maternal hyperoxia. Relevant
imaging parameters were: FOV = 32.0×32.0 cm2, slice thickness = 6
mm, image matrix = 160×160×30, TR = 24.0 ms, 8 TEs=1.96~22.0ms with 2.86 ms
incensement, flip angle = 20°, and readout bandwidth = ±125kHz. Scan time was ~140s.
The continuously acquired data were reconstructed to 3D images at 10 time frames (14s per frame) using a
multicoil compressed sensing method (k-t SPARSE-SENSE) [3,4] with an acceleration factor of ~8.
For T2* measurement in the fetal brain, 3D images of
the time frame with minimal motion artifacts
was identified visually for image processing. To achieve accurate and efficient
oxygenation measurement in the whole fetal brain, we developed a semi-automatic
segmentation tool based on the multi-echo MR acquisition. The main steps of the
image processing include: 1) cropping of the fetal brain region (12x12x12 cm3),
2) initial segmentation of the fetal brain by applying the modified k-means
clustering on multi-echo data, 3) automatic segmentation of the fetal brain
using shape-based Level-Set methods [5,6], 4) registration of the segmented fetal brain
at base and after maternal hyperoxia, and 5) T2* fitting based on the averaged
signal of the whole brain throughout the 8 echo times. Results and Discussion
Images
from total 42 subjects (22 CHD and 20 controls) were included for image
processing and data analysis, excluding 3 subjects (2 CHD and 1 control) due to
poor image quality.
Figure
1 shows the images from a representative case. The conventional 3D acquisition
is prone to fetal motion as shown in the first row. The proposed 4D imaging
method allows us to catch the time frame with relatively minimal motion. There
was obvious fetal movement between the scans in this case.
The
process to obtain an initial segmentation of fetal brain is shown in Figure 2.
Modified k-means clustering allows to initial separate the fetal brain from many
other tissues which have different decay curves.
Figure
3 shows the fetal images under the processing (brain segmentation and
registration). Only the registered, same voxels from scans at base and after
maternal hyperoxia were included for T2* calculation.
As
shown in Table 1, the baseline cerebral tissue oxygenation is lower in CHD
vs. control (p<0.05, significant). With Hyperoxia, the T2* values are
similar in the two groups. Overall, the change in T2* is
5.3 ms faster in the CHD group compared with the control group (95% CI:-1.4,
12.0, p=0.1), suggesting T2* increases in CHD while it remains
overall the same in control.
In
both groups at baseline, T2* declines with advancing gestational age (GA) at
the same rate. T2* declines by 7.1 ms per week increase in GA, (95% CI: -14.8,
0.72, p= 0.07) in control subjects, and by 8.2 ms (95% CI: -14.5, -1.8, p=
0.01) in CHD subjects. With MH, a similar relationship is seen between T2* and
GA, though less significant. The change in T2* with MH is not associated with
GA for either group.
Conclusions
We have implemented accelerated 4D MRI and efficient
image processing tool for achieving whole fetal brain oxygenation measurements. Fetuses
with CHD have lower baseline cerebral oxygenation compared with controls. In
addition, CHD fetuses exhibit an increase in cerebral oxygenation with maternal
hyperoxia testing while controls exhibit no change. These findings suggest that
decreased oxygen delivery to the brain is one factor that may contribute to
delays in brain development in fetuses with CHD. Acknowledgements
No acknowledgement found.References
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