Lydiane Hirschler1,2,3, Leon P. Munting4,5, Wouter M. Teeuwisse4, Ernst Suidgeest4, Jan M. Warnking1,2, Matthias J. P. van Osch4, Emmanuel L. Barbier1,2, and Louise van der Weerd4,5
1Grenoble Institut des Neurosciences, Université Grenoble Alpes, Grenoble, France, 2Inserm U836, Grenoble, France, 3Bruker Biospin, Ettlingen, Germany, 4Radiology, Leiden University Medical Center, Leiden, Netherlands, 5Human Genetics, Leiden University Medical Center, Leiden, Netherlands
Synopsis
Arterial transit time (ATT) is known to influence CBF-quantification and is interesting in itself,
as it may reflect underlying vascular pathologies. Currently, no MRI sequence exists to measure ATT in
mice. Recently, time-encoded labeling schemes have been implemented in rats
and men, enabling ATT-mapping with higher SNR and less scan-time than multi-delay ASL. In this study, we show that time-encoded pCASL
(te-pCASL) enables transit times measurements in mice. Furthermore, ATT was found to be preserved in old WT mice. Introduction
Ageing is associated with
an increased prevalence of neurovascular disease
1. Cerebral Blood
Flow (CBF) as measured by Arterial Spin Labeling (ASL)-MRI has shown promising
results as a biomarker
2. However, the arterial transit time (ATT) is
known to influence CBF-quantification and should be taken into account for unbiased
comparison between groups
3. Furthermore, ATT itself is interesting,
as it may reflect underlying pathologies such increased vessel tortuosity or
occlusion
4. Currently, no MRI sequence exists to measure ATT in
mice. Transit
times can be mapped using multi-delay ASL, but these scans are time-consuming
5.
Recently, time-encoded labeling schemes have been implemented in rats and men,
enabling ATT-mapping with higher SNR and less scan-time
6-8. In this study, we show that time-encoded pCASL (te-pCASL) enables transit
times measurements in old and young mice.
Methods
Experiments were performed on a 7T pre-clinical
MRI scanner (Bruker Pharmascan) using young (6 months) and old (25 months) wild
type (WT) C57BL6 mice (n=6 /group). Two
ASL labeling schemes were implemented: a standard pCASL labeling scheme to
measure CBF and a te-pCASL labeling scheme optimized for ATT-measurements (Fig.1).
Both were followed by a single-shot spin-echo EPI acquisition (TE=17ms,
in-plane resolution=224um², slice thickness=1.5mm, 3 slices, slice gap=1mm).
The label and control pCASL-interpulse phases were optimized during a pre-scan9.
Labeling pulses were applied in the neck, 1cm from the isocenter with the
following sequence-specific parameters:
- For pCASL, the 3s-labeling pulse was
followed by 300ms post-labeling delay (PLD). 60 pairs of label/control images
were acquired within 7 minutes (TR=3498ms).
- For te-pCASL, a Hadamard-12 matrix was
used as labeling scheme. The duration of every sub-bolus was 50ms and a final
PLD of 30ms was added at the end of the scheme. This resulted in 11 effective
PLDs (30, 80, 130…530ms). The scheme was repeated 45 times (7 minutes;TR=778ms).
For CBF-quantification, T1-maps were
acquired with an inversion recovery EPI sequence (18 inversion times) and labeling
efficiency was measured 3mm downstream of the labeling plane with a
flow-compensated, ASL-encoded FLASH.
By decoding the Hadamard-encoded ASL-signal,
individual sub-bolus images were created from the te-pCASL measurements (Fig.2).
The signal in each voxel was fitted to Buxton’s general kinetic perfusion model10 after which ATT and CBF were estimated voxel-by-voxel (Fig.3). To calculate quantitative CBF
maps from standard pCASL, the same model was used, with an assumed value of
300ms for ATT. The tissue T1 used for both CBF
quantifications was taken from the IR experiment. ROIs were manually drawn in six brain
regions on the raw EPIs using a mouse brain atlas as reference11.
Results and discussion
Example ATT- and CBF-maps from te-pCASL and CBF-map
from standard pCASL are shown in Figure 4. The contrasts in the two CBF-maps are
comparable. However, as can be seen from the scale bar, the quantitative values
were significantly different (p<0.001; paired t-test). This difference in CBF may be explained by intra-vascular
signal still present for the shorter PLDs when using te-pCASL, as it was
optimized to see the inflow-phase of the label. Future studies should evaluate
whether crusher gradients can eliminate such vascular contamination. In all six
brain regions the mean ATT was smaller than 300ms, demonstrating that the
choice of pCASL PLD (300ms) was appropriate to reduce arterial contamination of
the ASL signal and to limit the sensitivity of pCASL to ATT heterogeneity.
Compared to each other, the
different regions showed different transit times (p<0.001; one-way ANOVA).
The hippocampus had the lowest transit time, which can be explained by its
short supply route via the posterior communicating artery and longitudinal
hippocampal artery
12. Consequently, this difference in ATT could
explain the observed increased CBF-contrast between the hippocampus and the
auditory/visual cortex in te-pCASL CBF maps compared with standard pCASL
(p<0.001; paired t-test).
CBF and ATT were found to be
preserved in old WT mice (Fig.5) and no differences were found between hemispheres
(data not shown). Constant
CBF values in ageing WT mice has been reported previously in the literature. In
models for neurodegeneration, reduced CBF has been found
13,
and future research should evaluate ATT in these mouse models.
Conclusion
This study shows the
successful implementation of te-pCASL in mice. For the first time, ATT was
measured in mice and as a function of age. te-pCASL and standard pCASL CBF
values were however different, necessitating further research.
Acknowledgements
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