Zhiliang Wei1,2, Lin Chen1,2,3, Zixuan Lin4, Jiadi Xu1,2, Peter van Zijl1,2, and Hanzhang Lu1,2,4
1Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 3Department of Electronic Science, Xiamen University, Xiamen, Fujian, China, 4Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
Synopsis
Cerebral blood flow (CBF) is a crucial physiological parameter
reflective of brain functioning and metabolism. In this study, our goal was to
systematically optimize a phase-contrast (PC) quantitative flow technique for
CBF assessment in mice. We also demonstrated the sensitivity of this technique
to longitudinal CBF changes in aging. This optimized PC protocol may serve as a
helpful non-invasive tool for CBF measurement in preclinical studies of brain
physiology and pathophysiology with mouse disease models.
Purpose
Research studies
on mouse models often require the alterations of mouse brain physiology, such
as injection of novel “smart” contrast agents, administration of new pharmacological
compounds, and introduction of specific brain diseases via genetic or surgical
means. While structural MRI has been used extensively in such studies,
surprisingly little attention has been directed toward physiological effects of
these interventions and treatments. Cerebral blood flow (CBF) is one of the
most fundamental physiological parameters of the brain. Since all contrast
agents and drugs are delivered to the brain by blood, assessment of CBF is
important in evaluating the efficacy of such agents. CBF may also provide an
early index of toxicity in that it will inform us about the extent to which the
agent has altered physiology. Additionally, CBF is a potential diagnostic
marker in brain diseases. In this study, our goal was to systematically optimize
a phase-contrast (PC) quantitative flow technique for CBF assessment in mice.
We also demonstrated the sensitivity of this technique to longitudinal CBF
changes in aging. Method
All experiments
were performed on a Bruker 11.7T system with institutional animal committee
approval. A time-of-flight (TOF) angiogram was first performed to visualize the
feeding arteries of the brain, i.e. left and right internal carotid arteries
(ICA) and vertebral arteries (VA) (Figure 1). PC MRI was then performed on each
of these four arteries with slices placed perpendicular to the flow directions
(Figure 1), the sum of which yields the whole-brain CBF. Three sub-studies were
performed to identify the optimal parameters for PC MRI in mouse. An additional
study was performed to demonstrate the sensitivity of the technique in a
longitudinal study of aging. Study I conducted measurement of typical flow
velocity in mouse ICA and VA in order to determine the optimal encoding
velocity (Venc) in PC MRI (N=3). Study II performed optimization of in-plane spatial
resolution by comparing PC MRI at spatial resolutions of 80, 60, 50, and 40 μm (N=5).
To shorten scan time, Study III implemented a reduced FOV scheme to allow
certain degree of fold-over along the phase-encoding direction while not
affecting the vessel of interest. The sequence with reduced FOV (10×15 mm2)
was compared with a full FOV of 15×15 mm2 (N=5). In Study IV, we
conducted a longitudinal aging study in 5 mice (from 13 to 30 weeks old, 5 time
points with an interval of 1 month) (N=5). Brain volume at each time point was
also obtained using a T2w sequence, which allowed the calculation of
unit-volume CBF. For all PC experiments, other imaging parameters were:
TR/TE=60/3.1ms, slice thickness=0.5mm, average number=4, flip angle=25º.Results and Discussion
(Study I) Peak
blood flow velocities in the four feeding arteries were 13.8±1.7, 14.4±0.6,
6.5±1.7, and 6.7±1.3 cm/s, respectively, with ICA showing a significantly
higher (p=0.002) velocity than VA. Based on these observations, Venc of ICA and
VA was chosen to be 20 and 10cm/s, respectively, for later studies. (Study II)
Figure 2 shows PC MRI using different resolutions. Larger voxel-size results in
over-estimation in CBF while smaller voxel-size is associated with long scan
time. A voxel-size of 50 μm was considered optimal for both vessels. At this
spatial resolution, test-retest reproducibility studies suggested that the
coefficient-of-variation (CoV) of the ICA CBF was 3.5±1.8% and that of the VA
was 2.6±1.9%. (Study III) Figure 3 shows CBF measured using the reduced-FOV and
full-FOV schemes. Note that no significant difference in CBF was found, while the
scan duration of the reduced-FOV scheme (1min52sec) is considerably shorter
than that of the full-FOV scheme (2min48sec). (Study IV) Figure 4 shows longitudinal
changes in global CBF over a 17 week period in each animal. Linear mixed-effect
analysis revealed a significant decrease in CBF with age (p=0.002), consistent
with human reports.1,2 Our results suggest that, within the age
range of 13-30 weeks, mouse CBF decreases by 2.3 ml/100g/min per week, which is
equivalent to 1% per week. For reference, human studies found that CBF
decreases by 1.8-3% per decade on average over the lifespan.2Conclusion
We have conducted
a systematic study to optimize the PC MRI technique for measuring mouse CBF at
11.7T, which may provide a useful tool for evaluating brain physiology in studies
of animal models. Acknowledgements
No acknowledgement found.References
1. Lu H, Xu F, Rodrigue
K, et al. Alterations in cerebral metabolic rate and blood supply across the
adult lifespan. Cereb. Cortex 2011; 21:1426-1434.
2. Peng S, Dumas J,
Park D, et al. Age-related increase of
resting metabolic rate in the human brain. NeuroImage 2014; 98:176-183.