Peiying Liu1, Ying Qi2, Zixuan Lin1, Xuna Zhao3, Qiyong Guo2, Xiaoming Wang2, and Hanzhang Lu1
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Shengjing Hospital of China Medical University, Shenyang, China, People's Republic of, 3Philips Healthcare, Beijing, China, People's Republic of
Synopsis
Knowledge of CBF in neonates or infants may provide valuable information
in many pathological conditions. When applied to very young children, CBF
mapping using arterial-spin-labeling (ASL) MRI suffers from low SNR and poor
quantification, whereas phase-contrast (PC) MRI may provide reliable estimation
of global CBF. Therefore, this study aim to 1) provide a set of age-specific PC-MRI
protocols for CBF quantification in children under 1.5 years old; 2) establish
typical arterial flow velocity in children at this age which could guide future
ASL efforts in labeling pulse optimization; 3) report how CBF changes during this
early stage of life.Purpose
CBF is an important indicator of brain function and tissue viability. Knowledge
of CBF in neonates or infants may provide valuable information in pathological
conditions such as hypoxic ischemic injury
1, perinatal ischemic
stoke
2, and congenital heart disease
3. However, routine
clinical assessment of neonatal or infant CBF is difficult due to a lack of techniques.
There is a recent surge in using arterial spin labeling (ASL) MRI for neonatal
CBF assessment
1,2. However, current ASL methods when applied to very
young children suffer from both low SNR and poor quantification. Furthermore,
neonatal/infant stage is characterized by rapid changes in brain physiology and
it is virtually impossible to find a one-size-fits-all imaging protocol. In
this regard, phase-contrast (PC) MRI is complementary to ASL in that its pulse
sequence is relatively simple and it provides a reliable and quantitative,
although lack spatial information, estimation of CBF
3-5. Therefore,
the goal of the present study is to 1) provide a set of age-specific protocols
for CBF quantification in children from 34 gestational weeks to 1.5 years after
birth; 2) establish typical arterial flow velocity in children at this age
which could guide future ASL efforts in terms of optimal labeling pulse design;
3) report how CBF changes during this early stage of life. We also recommend
that PC-MRI be used concomitantly with ASL to provide a normalization of
ASL-derived CBF maps to ensure quantification accuracy
6.
Methods
MRI data were
collected on a 3T Philips system and the data were used upon institutional
ethics committee approval. A total of 24 children were studied.
Visualization of feeding arteries with
a minimal scan duration
Since the
positioning of PC-MRI requires the visualization of the brain’s feeling
arteries, we first optimized the TOF angiogram in four infants. The goal was to
identify an optimal spatial resolution to obtain a tradeoff between scan time and
artery delineation. We compared three imaging resolutions: 0.6mm, 0.8mm and
1mm. Other parameters were similar to a previous study4. The scan
duration was 20s, 24s, and 32s for the three resolutions, respectively.
Optimization of cut-off velocity (Venc)
in PC-MRI
PC-MRI uses a
pair of magnetic field gradients to encode the flow velocity of a spin in its
phase. The most important imaging parameter in PC-MRI is the Venc. Twenty infants
(34~114 gestational weeks) were included. In each infant, we performed
PC-MRI 12 times: six times on the left internal carotid artery (LICA) using a
series of Venc values and six times on the left vertebral artery (LVA). Venc for
LICA were 10 to 60cm/s with 10cm/s increment, whereas Venc for LVA were 5 to
30cm/s with 5cm/s increment. Other imaging parameters were: FoV=90x90x3mm3,
matrix size=180x180. For each PC scan, we evaluated the blood flux and peak
velocity of the targeted artery.
Age dependence of CBF
The total blood flux
to the brain was estimated as (fluxLICA+fluxLVA)x2. Brain
volume was obtained from T2-weighted anatomic scans. Unit-volume CBF in ml/100g/min
was calculated. Age-changes in total arterial flux, brain volume and CBF was
assessed.
Results and
Discussion
Figure 1
shows TOF images at three different resolutions in a neonate at 37 gestational weeks. Consensus
among three investigators by inspecting data from all four subjects suggested
that in-plane resolution of 0.8mm provides an optimal tradeoff between image
quality and scan duration. This TOF protocol was used in the rest of the
subjects.
Figure 2
shows the PC-MRI results from one representative subject (35 gestational weeks). Figure 3
summarizes the peak velocity across all subjects. Both ICA and VA showed a
gradual increase in peak velocity. The optimal Venc of each participant is
shown in red dots in Figure 3, and fitting these dots to a step-wise curve yielded
the age-specific Venc recommendations in the green curve.
Figure 4 shows
age-related changes in total arterial flux (in ml/min), brain volume (in ml),
and unit-volume CBF (in ml/100g/min). All three parameters increased with age.
For unit-volume CBF, it appears that, at birth, the neonate’s CBF is only one
third of that of adult (typically 60 ml/100g/min). But it rapidly increases
with time and, by six months after birth, CBF is already at the level of
adults. Beyond that age, the CBF continues to increase to a level greater than
adults. According to previous literature7, CBF is anticipated to
peak between 3 to 8 years old, and then started to decrease thereafter.
Conclusion
Here we propose a procedure, shown in Figure 5, for the quantitative
assessment of CBF in children under 1.5 years of age. Our results also
demonstrated a rapid increase of CBF during this period.
Acknowledgements
NoneReferences
1. Pienaar et al., NeuroImage, 63:1510, 2012; 2. De Vis et al., Pediatr
Res 74:307, 2013; 3. Jain et al., JCBFM 34:380, 2014; 4. Varela et al., NMR
Biomed 25:1063, 2012; 5. Liu et al., NMR Biomed 27:332, 2014; 6. Aslan et al,
MRM 63:765, 2010; 7. Takahashi et al., AJNR 20:917, 1999.