Mareike Alicja Buck1,2, Klaus Eickel1,3, and Matthias Günther1,2,3
1Fraunhofer MEVIS, Bremen, Germany, 2University Bremen, Bremen, Germany, 3mediri GmbH, Heidelberg, Germany
Synopsis
Keywords: Arterial spin labelling, Arterial spin labelling, velocity-selective Arterial Spin Labeling, multi-TE
In this
work, for the first time, an analytical model for determining the exchange
times for obtaining vascular permeability information in velocity-selective Arterial Spin Labeling (VSASL) with multiple echo times (TE) is presented.
Signal intensity comparisons were performed between different multi-TE VSASL techniques
with each of the standard multi-TE pCASL and multi-TE PASL techniques for different
sampling times. This demonstrates that, particularly for longer arterial
transit times, the VSASL signal is twice as high compared with standard
multi-TE measurements and thus shows promise in the field of non-invasive
permeability measurements.
Introduction
Velocity-selective
(VS) Arterial Spin Labeling (ASL) is a technique for measuring perfusion by
labeling blood water of supplying artery of the organ of interest within the
imaging region1,2. Because of the insensitivity of arterial transit
times (ATT) of labeled blood, VSASL is getting increasingly more interest, especially
in organs with slow blood velocity.
In addition,
multiple echo (multi-TE) measurements offer the possibility to distinguish
between different tissue types and determine exchange dynamics between them and
with thus obtain information about the vascular permeability and exchange time
quantified by Texch.
This
abstract presents an analytical model to determine Texch times using the
combination of VSASL and multi-TE measurements. Furthermore, signal comparisons
were made between multi-TE VSASL measurements and multi-TE pseudocontinuous ASL (pCASL)
and pulsed ASL (PASL) measurements.Methods
Theory
The model
is based on a two-compartment model3 which uses an exchange term
with an exchange time that reflects the transfer of labeled blood into the
tissue. In that model, the measured signal can be subdivided into blood and
tissue and was recently extended by an intravoxel transit time (ITT) as additional
compartment to account for delayed exchanges within a voxel4,5. VSASL
allows selective labeling for flow velocities above a so-called cut-off
velocity vc (figure 1a) and in combination with vascular crushers applied
after an inflow time TI only decelerated labeled blood which enters the tissue
contributes to the measuring signal (figure 1b).
The signal
which depends on the measurement parameters TI and TE is calculated by
$$S_{VSASL}(TI,TE)=f\alpha_{VS}M_0\left(\int_0^{TI}e^{-\frac{t}{T1_b}}e^{-\frac{TI-t}{T1_{ex}}}\cdot (1-e^{-\frac{TI-t}{T_{exch}}})dt\right)\left(1-e^{-\frac{t_{sat}}{T1_{bl}}}\right)e^{-\frac{TE}{T2_{ex}}}$$
including
the arterial input function of the VSASL bolus, the exchange function as well
as the T1- and T2 magnetization relaxation function of blood and tissue. In
addition, the signal depends on the saturation time tsat which is the time
between the regional saturation and the VSASL module.
f
is the perfusion, $$$\alpha_{VS}$$$ the labeling efficiency of the selected VSASL
technique ($$$\alpha_{VS}$$$=2 for inversion, 1 for saturation), M0 the equilibrium
magnetization of blood. T1bl, T1ex are the T1-relaxation times of blood and
tissue, T2ex the T2-relaxation time of tissue respectively.
Simulation
3D-data
were simulated for ranges of TI=[0, 5000]ms and TE=(0, 19, 57, 95, 133, 171,
209, 247, 285, 323)ms with Texch=228ms using the equation above with: M0=1; f =
60 ml/100g/min; $$$\alpha_{VS}$$$=1 or 2 (for saturation or inversion), T1bl=1584ms; T1ex=1331ms;
T2ex=80ms, tsat=2000ms.
Additionally, a signal intensity comparison
between pCASL and PASL with the VSASL technique was done. For this, the signals
of all techniques were calculated for different TI, ATT (ITT=300ms) and TE values.
The quotient Signal_VSASL/Signal_PASL and Signal_VSASL/Signal_pCASL were determined
for VS-inversion (inv-VSASL) and VS-saturation (sat-VSASL) for comparison at
different sampling times. The PASL and pCASL signals were calculated using the
extended model4 with bolus duration BD_pCASL=1800ms and
BD_PASL=800ms.Results
3D
simulated data for the imaging voxel and the influence of different TI and TE
values are shown in figure 2. Along the TI-axis it can be seen that the VSASL signal
rises immediately due to the independence of ATT and decreases again after
TI=1675ms. With increasing TE values, the signal decreases with respect to the
exponential T2-decay along the TE-axis.
Figure 3 and 4 show the signal ratio of VSASL to pCASL and VSASL to PASL for different TI and ATT values. The comparison was
done for inv-VSASL and sat-VSASL for TE=(0, 150, 300)ms. It can be seen that especially
for longer ATT values, the signal intensity is higher with the VSASL technique
compared to pCASL in all cases. In the comparison with PASL it can be seen,
that additionally for short ATTs and long TIs the inv-VSASL signal is higher.Discussion
Due to the
insensitivity of VSASL to ATT, the signal starts to increase immediately because
of labeling directly within the voxel and a steady inflow of blood into the
tissue can be seen. The chosen TI determines the bolus length and therefore the
signal increases steadily as new, freshly labeled blood enters the voxel with
increasing TI. After a maximum at TI=1675ms, the signal starts to decrease due
to the T1-relaxation. The point at which the signal starts to decrease
indicates that T1-relaxation has become the dominant effect over the
accumulated signal of labeled blood entering the tissue.
Furthermore,
the 3D simulation shows a decrease in tissue signal during multi-TE
measurements according to the T2-decay. The signal difference between
individual TEs also reaches maximum at TI=1675ms, which indicates that an
optimal timing of TI will help to optimize a multi-TE measurement.
The
colormaps of the signal quotient show the benefit of VSASL over pCASL and PASL
in measurements with expected prolonged ATTs. For example, according to the
White Paper6 TI=1800ms is recommended for pCASL. Figure 3 clearly shows
that in this case, for ATTs above 1400ms, inv-VSASL for TE=150ms is expected to
have higher signal intensities. Conclusion
In
conclusion, this abstract presents an analytical model for combining VSASL with
multi-TE measurements to determine exchange dynamics and permeability
information. The comparison of signal intensities between pCASL or PASL and
VSASL shows that especially for higher ATT values multi-TE VSASL could be a
promising alternative to the standard multi-TE pCASL or multi-TE PASL measurements.Acknowledgements
No acknowledgement found.References
[1] E. C.
Wong et al.,
“Velocity-selective arterial spin labeling,” Magn. Reson. Med., vol. 55,
no. 6, pp. 1334–1341, 2006, doi: 10.1002/mrm.20906.
[2] Q. Qin et
al., “Velocity-selective arterial spin labeling perfusion MRI: A review of
the state of the art and recommendations for clinical implementation,” Magn.
Reson. Med., vol. 88, no. 4, pp. 1528–1547, 2022, doi: 10.1002/mrm.29371.
[3] J.
Gregori et al., “T2-based arterial spin labeling
measurements of blood to tissue water transfer in human brain,” J. Magn.
Reson. Imaging, vol. 37, no. 2, pp. 332–342, 2013, doi: 10.1002/jmri.23822.
[4] A.
Mahroo et al., “Robust Multi-TE ASL-Based Blood–Brain Barrier Integrity
Measurements,” Front. Neurosci., vol. 15, no. December, pp. 1–14, 2021,
doi: 10.3389/fnins.2021.719676.
[5] M. A. Buck et al., “Considering intravoxel transit times is a must for robust
determination of blood brain barrier integrity using arterial spin labeling,”
in Proceedings of the 38th Annual Scientific Meeting of the ESMRMB, 2021
[6] D. C. Alsop et al., “Recommended implementation of
arterial spin-labeled Perfusion mri for clinical applications: A consensus of
the ISMRM Perfusion Study group and the European consortium for ASL in
dementia,” Magn. Reson. Med., vol. 73, no. 1, pp. 102–116, 2015, doi:
10.1002/mrm.25197