Samantha Paterson1,2, Antoine Vallatos3, Camille Graff4, and William Matthew Holmes2
1EPIC, University of Leeds, Leeds, United Kingdom, 2GEMRIC, University of Glasgow, Glasgow, United Kingdom, 3Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 4INP Grenoble - Phelma, Grenoble, France
Synopsis
The
mbASL
sequence is a hybrid between PASL and pCASL. It was shown to produce high SNR
perfusion data. Quantification is crucial in order to produce accurate mbASL CBF
maps. We have shown successful quantification by modifying the Buxton ASL kinetic model, optimising the number of pulses used for inversion and examining the optimal labelling slab thickness needed to maximise the SNR. We found CBF values that agree with current literature for mice and rats.
Introduction
Multiple boli arterial spin labelling (mbASL) uses a train of adiabatic pulses to label successive inversion slabs of arterial blood water. The sequence can be described as a hybrid between pseudo-continuous ASL (pCASL) and pulsed ASL (PASL). mbASL has been successfully used previously to produce high SNR ASL images1 and has potential to be used clinically. In this work we introduce a new mbASL kinetic model and systematically assess it using preclinical experiments in mice and rats. We highlight the hybrid pCASL/PASL nature of mbASL and compare the mbASL sequence with the commonly used FAIR sequence. Subsequently, we produce mbASL CBF maps which compare favourably with existing rodent CBF literature. Theory
The Buxton PASL kinetic model for was modified to
account for the train of adiabatic pulses (Figure 1). The arterial
transit time , described as
the time for blood to travel from the inversion slab to the imaging slice is
given as and is the
labelling slab thickness.
The mbASL signal can be
described by: ΔM(t) = fΣi = npi = 1 ΔMi, PASL(t) [1]
Where, np is the number
of pulses. The PASL kinetic model is described as: ΔMi, PASL (t) = 0 for 0 < t < δ
ΔMi, PASL (t) = 2Mb0(t - δ)αexp(-t/T1b)(exp(kt)(exp(-kδ)-exp(-kt)/k(t-δ)) for Δt < t < τ + Δt
ΔMi, PASL (t) = 2Mb0ταexp(-t/T1b)(exp(kt)(exp(-kδ)-exp(-k(t+δ))/kt) for τ + δ < t [2]
Where δ and τ are given by:
δ = Li/Vblood [3]
And: τ = (Linv + Li)/Vblood [4]
The mbASL kinetic model was used to demonstrate the
hybrid nature of the sequence by varying the size of the inversion slab and
varying the number of pulses used (Figure 2). The model demonstrates a pCASL
distribution of signal at short labelling slab thicknesses, with the shape
changing to similar to a PASL distribution at larger thicknesses. Methods
Experiments were conducted on C57 mice (n = 5) and
rats (n = 5). Three inversion slab thicknesses for mice (Linv = 4, 8,
16 mm) and rats (Linv = 6, 12
, 36mm ) were chosen to explore. Experimental parameters were as follows: matrix
of 96x96, with FOV = 1.76x1.76cm for mice and FOV = 2.5x2.5cm for rats. The
imaging slice thickness was 1mm for mice and 1.5 mm for rats, centered at 4mm
and 7mm posterior from the rhinal fissure respectively. The mbASL sequence uses a
train of slice-selective hyperbolic secant (HS) inversion pulses (duration = 3.3ms,
dimensionless amplitude parameter = 8, angular
modulation =
760 s-1).The following experiments were conducted: A) The
number of pulses used were varied to find an optimal number that gave
sufficient signal. B) The inversion time was
varied to examine the distribution of signal at various labelling slab thicknesses. C) mbASL
and FAIR images were produced for comparison of ΔM signal. D) The mbASL kinetic model was used to produce
quantitative cerebral blood flow maps at the chosen optimal labelling slab
thickness. Results
We optimised the mbASL SNR by finding
the number of pulses that gave maximum signal for each labelling slab
thickness. Figure 3 shows the increase in signal as the number of pulses is
increased. The signal reaches a plateau when the number of pulses used gives a
(pseudo)-continuous signal. The larger the labelling slab thickness, the less
pulses are needed to reach this optimal signal. A larger number of pulses
overall is needed for rats compared to mice.
To highlight the hybrid nature of the
mbASL sequence, we varied the inversion time. Figure 4 shows the peak signal
shift as the labelling slab thickness is increased. For rats, the larger
labelling slab thickness shows two peaks due to the heart circulation. This
also allowed us to highlight the optimal labelling slab thickness. We compared
the mbASL sequence against FAIR using perfusion maps, with the mbASL producing
367% higher signal in mice compared to FAIR and 275% in rats. These perfusion
maps were used to produce quantitative CBF maps (Figure 5) with an average value for mice as 110 ml/100g/min and rats
120 ml/100g/min, which agrees with existing literature 2,3Discussion and Conclusion
We have successfully quantified and validated
the mbASL kinetic model and demonstrate that the model can produce quantitative
CBF maps with values agree with the existing literature.
These experiments have demonstrated the
hybrid nature of the sequence and have shown that the sequence can be readily
optimized for used on different strains of rodents. We are able to produce
sufficient signal whilst keeping within SAR limits, and this means the mbASL
sequence is of interest to both pre-clinical and clinical users as robust
alternative to other ASL sequences.Acknowledgements
This work was funded through EPSRC. Thanks also go to
Mr. James Mullin, Mrs. Linda Carberry and Mrs. Lindsay Gallagher for their
advice and assistance on animal setup and scanning protocols.References
1. Vallatos A, Gilmour L, Chalmers AJ,
Holmes WM. Multiple boli arterial spin labeling for high signal-to-noise rodent
brain perfusion imaging. Magn Reson Med 2018;79(2):1020-1030.
2. Wells JA, Siow B, Lythgoe MF, Thomas
DL. Measuring biexponential transverse relaxation of the ASL signal at 9.4 T to
estimate arterial oxygen saturation and the time of exchange of labeled blood
water into cortical brain tissue. J Cereb Blood Flow Metab 2013;33(2):215-224.
3. Duhamel G, Callot
V, Tachrount M, Alsop DC, Cozzone PJ. Pseudo-continuous arterial spin labeling
at very high magnetic field (11.75 T) for high-resolution mouse brain perfusion
imaging. Magn Reson Med 2012;67(5):1225-1236.