Deqiang Qiu1, Junjie Wu1, Seena Dehkharghani1, and Amit Saindane1
1Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States
Synopsis
We
proposed a novel multi-band multi-echo DSC perfusion imaging method to estimate
leakage-corrected perfusion parameters and additional vascular permeability
parameters. Simulations were performed and showed that higher temporal
resolution provided by the novel sequence improves the accuracy in the
calculation of perfusion parameters.Introduction
Dynamic susceptibility contrast
(DSC) MR perfusion imaging can provide valuable perfusion metrics, including cerebral
blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT). DSC is typically
performed with a single-band single-echo EPI sequence, which has limited
spatial and temporal resolution, and is prone to measurement errors due to
contrast agent (CA) extravasation in cases of blood brain barrier (BBB)
breakdown such as in brain tumors
1. In the present study, we proposed a novel
multi-band multi-echo EPI (M2-EPI) DSC method for perfusion imaging with
leakage correction, which can also provide additional vascular permeability
parameters K
tran and v
e. Simulations were performed to
study the effects of improved temporal resolution afforded by multi-band
acquisition on the accuracy of perfusion parameter estimation.
Methods
DSC
was performed with a Siemens Tim Trio 3T scanner equipped with a 32 channel head
coil using a novel M2-EPI pulse sequence2: TR = 800 ms, TE = 18 / 41 /65 ms, FOV = 240 x
240 mm2, matrix = 100 x 100, slice thickness/gap = 4/1 mm, 24 slices
multiband-factor = 3, GRAPPA factor = 3. Gadobenate Dimeglumine (MultiHance,
Bracco, Milan, Italy) was injected at 4 ml/s 10 seconds following initiation of
the M2-EPI sequence. T1-weighted MPRAGE imaging was also acquired
after the contrast agent injection. Three patients with known brain tumors underwent MRI scans
with the above sequences. The temporal signal following contrast injection can
be expressed as the following equation:$$S(t,TE)=S_{0}(t)e^{-TE\cdot R_2^*(t)}+\sigma$$ $$S_{0}(t)=M_{0}\frac{1-e^{-TR\cdot R_{1}(t)}}{1-e^{-TR\cdot R_{1}(t)}\cos\theta}\sin\theta$$
where
TE denotes the echo time, TR the repetition time, θ the flip angle, M0 the equilibrium longitudinal
magnetization, σ the noise, and R1(t) the longitudinal relaxivity which is a
function of CA leaked into the extravascular-extracellular space (ESS), R2*(t)
the transverse relaxivity which is approximately
a linear function of CA concentration in the intravascular space. CA leakage primarily
causes a change in S0(t). The acquisition of multi-echo images using
M2-EPI allows the isolation of this effect by estimating S0(t) and R2*(t) at each time point. The obtained R2*(t) dynamic volumes was subject to DSC modeling
using a regularized deconvolution technique following automatic identification
of the arterial input function to produce the CBF, CBV, MTT and Tmax images3. DSC processing was also performed on the
second echo without leakage correction for comparison. The volume transfer
constant Ktrans and the EES volume fraction ve were
estimated from S0(t) using the adiabatic approximation to the
tissue homogeneity model1. Simulations were performed to study the accuracy
of permeability and perfusion estimations by varying temporal resolution (TR)
and
perfusion/permeability parameters. Gaussian noise was added based on SNR measurement
of experimental data. Simulations were repeated 100 times to calculate the mean values and
SD of the perfusion parameters. TR was varied from 400 to 3200 ms, CBF from 20 to 100 ml/100g/min, Ktrans from 0.00 to 0.12 min-1.
MTT was set to 5 second and ve to 0.25.
Results
Figure 1 shows signal time
courses of the DSC acquisition as well as calculated S
0(t) from
voxels in healthy tissue and tumor. Increased S
0(t) following contrast injection can be observed in the tumor region due to
extravasation of the contrast agent into the ESS caused by BBB breakdown. Figure
2 shows CBV and MTT maps calculated from the second echo without leakage
correction, as well as from all three echoes with leakage correction in a
patient with a brain tumor. CBV map without leakage correction
underestimates the blood volume in the tumor, while leakage-corrected CBV map
showed high blood volume in the tumor. Additional vascular permeability
measures including the volume transfer constant K
trans and the EES
volume fraction v
e maps were also obtained. Elevated permeability
parameters K
trans and v
e in tumor suggest substantial leakage
of contrast agent in this region. Multi-echo based leakage correction were
successfully performed in all three patients with brain tumors and provided
improved stimulation of the CBV in regions of brain tumor (Figure 3).
Simulation showed that shorter TR is associated with more accurate estimation
of CBF and MTT while differences in TR
have minimal effects on the estimation of K
trans, v
e, and CBV (Figure 4).
Discussion and Conclusion
Perfusion and vascular permeability
parameters can be simultaneously assessed through the multi-band multi-echo DSC
perfusion imaging method. Multi-echo data acquisitions improve
perfusion measurements by reducing or eliminating T
1-shortening effects due to CA
extravasation, with additional permeability determination. Multi-band data
acquisitions provide high temporal resolution, allowing more accurate perfusion
quantification.
In conclusion, M2-EPI DSC could facilitate
accurate perfusion/permeability evaluation in brain tumor and thus can be used
as a valuable diagnosis tool.
Acknowledgements
No acknowledgement found.References
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measurements using combined spin- and gradient-echo MRI. J Cereb Blood Flow
Metab, 2013. 33(5): p. 732-743.
2. Qiu,
D., et al. Multi-band Multi-echo EPI for
Dynamic Susceptibility Contrast Perfusion Imaging: A feasibility Study. in ISMRM. 2015.
3. Straka,
M., G.W. Albers, and R. Bammer, Real-time
diffusion-perfusion mismatch analysis in acute stroke. Journal of Magnetic
Resonance Imaging, 2010. 32(5): p.
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