Adam Bush1, Yaqoing Chia2, Julie Coloigner2, Thomas Coates3, Natasha Lepore4, and John Wood1
1Biomedical Engineering/ Cardiology, University of Southern California/ Children's Hospital Los Angeles, Los Angeles, CA, United States, 2Cardiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 3Hematology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 4Children's Hospital Los Angeles, Los Angeles, CA, United States
Synopsis
In this study we propose a time varying correction technique for pseudo continuous arterial spin labeling efficiency. We compare this correction method to other correction methods and phase contrast MRI. Introduction
Pseudo Continuous Arterial Spin Labeling (PCASL) has emerged
as the recommended labeling approach for clinical quantification of cerebral
blood flow (CBF) using ASL[1]. Unfortunately,
problems regarding accurate quantification using PCASL limit its clinical use. One of the largest problems is that
of labeling efficiency (LE). Labeling efficiency
represents the inversion rate of spins as they flow across the labeling plane and is
highly dependent on blood velocity and off resonance in the labeled vessel. Inefficient labeling will lead to low signal
to noise and underestimations of CBF.
Several groups have developed strategies to address this problem however
few of these approaches are widely adopted [3,4].
Further, the effect of pulsatile
blood flow on LE has yet to be studied in simulation. As result we
modelled LE in laminar and pulsatile flow using Bloch simulations, measured
global CBF using phase contrast (PC) and
compared different LE correction strategies
in healthy controls and patients with sickle cell disease (SCD).
Methods
This study was performed under an IRB approved protocol with informed
consent/assent. Imaging was performed on
a Philips 3T Achieva scanner with 8 channel head coil. Study participants consisted of 8 SCD and 9 healthy
controls. A single, orthogonal ungated and gated PC scan was used to extract
the average velocity and the velocity over 30 cardiac cycles, respectively, in
the cerebral feeding vessels. Repetition time 12.3 ms, echo time 7.5 ms,
field of view 260 mm, thickness 5 mm, signal averages 10, acquisition matrix
204 x 201, reconstruction matrix 448 x 448, bandwidth 244 Hz/pixel, and
velocity encoding gradient of 200 cm/s. Parameters for PCASL efficiency Bloch simulations were as follows:
the unbalanced gradient PCASL consisted of 50microsecond Hanning-shaped RF
pulses, with maximum gradient amplitude of 10G/cm and mean gradient of 1 G/cm
over the pulse interval of 1 ms. Ungated average velocity was used to calculate
LE. Cardiac cycle velocities were used to simulate
magnetization evolution throughout the cardiac cycle on a voxelwise basis. Results were flow weighted and an aggregate
time varying velocity (TVV) LE was calculated.
A multishot, GRASE PCASL sequence was used in controls and patients FOV
220, thickness 10mm, voxelsize 3.44x3.4, label duration 1.6 seconds and
labeling delay 2.0seconds.
Results
Figure 3 shows PC and ASL CBF quantification with respect to one another. Figure 4 displays the Bland
Altman statistics for CBF with 1) LE equal to .85; 2)LE corrected with average
velocity; 3)LE using a TVV correction. The mean
difference between 1) and PC MRI is 15.6 ml/100g/min,which is highest compared
to -3.6 and -0.9 ml/100g/min. The
static
LE efficiency underestimated the CBF measured by PC
in
our cohort (p<0.05).
There was no statistical difference
between
PC and either ASL velocity correction method (p>0.05).
Average
velocity
and TVV correction methods were statistically different
from
one another, reflecting a bias of 2.9 ml/100/min.
The
precision of the average velocity and TVV method is
increased
compared to the static method as observed in the
lower variance.
Discussion
In
this study we demonstrate it is possible to correct for labeling inefficiencies
using PC MRI and Bloch simulations. These data suggest
that
the precision and accuracy of ASL CBF quantification
can
be significantly improved with the use of LE velocity
correction.
In this paper, we propose two separate techniques
that
can be used for LE correction. Though TVV correction
is
a more rigorous correction method, it failed to improve on
the
gains made with an average velocity correction. Given its
increased
scan time and computational requirements, we suggest
an
average velocity method be utilized. We are not the
first
group to utilize a velocity correction for LE [4, 6]. However,
we
are the first to numerically demonstrate the effects of
cardiac
pulsatility on PCASL labeling efficiency and measure
it
in situ using a recommended ASL sequence [1]. We realize PC MRI is not the gold standard to measure CBF and
may
have its own bias.
Despite this, limitation we conclusively demonstrate the
importance
of velocity correction. This correction becomes
increasingly
important in patients anemia induced hyperemia,
like
those with SCD. This work is compulsory if PCASL is
ever to leave the fully be adopted as a clinical techinque.
Acknowledgements
Special
thanks to Jon Chia at Philips Healthcare for technical support and pulse
sequence implementation on our Philips 3T Achieva
scanner.
This work
was supported by the CTSI Translational Science, CTSI Neuropsychology core, and
National Heart Lung and Blood Institute 1U01HL117718-01.
References
[1] David C et. al., “Recommended implementation of arterialspin-labeled perfusion mri for clinical applications:A consensus of the ismrm perfusion study group and the european consortium for asl in dementia,” MagneticResonance in Medicine, vol. 73, no. 1, pp. 102–116, 2015.
[2] Wen-Chau W et. al., “A theoretical and experimentalinvestigation of the tagging efficiency of pseudocontinuousarterial spin labeling,” vol. 58, no. 5, pp. 1020–1027, 2007.
[3] Youngkyoo J et. al., “Multiphase pseudocontinuousarterial spin labeling (mp-pcasl) for robust quantificationof cerebral blood flow,” Magnetic Resonance inMedicine, vol. 64, no. 3, pp. 799–810, 2010.
[4] Sina A et. al., “Estimation of labeling efficiency inpseudocontinuous arterial spin labeling,” Magnetic resonancein medicine, vol. 63, no. 3, pp. 765–771, 2010.
[5] Alperin N et. al., “Comparison between total cbf valuesmeasured by asl and phase contrast over increased rangeof cbf values,” .
[6] Adam A et. al., “Comparison between total cbf valuesmeasured by asl and phase contrast over increased rangeof cbf values,” 2015.
[7] Gevers S et. al., “Arterial spin labeling measurement ofcerebral perfusion in children with sickle cell disease,”Journal of Magnetic Resonance Imaging, vol. 35, no. 4,pp. 779–787, 2012.