Ioannis Koktzoglou1,2, Rong Huang1, Nondas Leloudas1, and Robert R Edelman1,3
1Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 2University of Chicago Pritzker School of Medicine, Chicago, IL, United States, 3Northwestern University Feinberg School of Medicine, Chicago, IL, United States
Synopsis
Time
of flight (TOF) and quiescent interval slice selective (QISS) magnetic
resonance angiography (MRA) provide accurate anatomic evaluation blood
vessels but do not readily quantify blood velocity or flow. Addressing this
deficiency, we report two multi-echo stack-of-stars variants of TOF and QISS
MRA (which we refer to as “quantitative TOF” (qTOF) and “quantitative QISS”
(qQISS) MRA) that provide for simultaneous high-resolution anatomic and
hemodynamic evaluation of the intracranial arteries.
Introduction
Time-of-flight
(TOF)1 and quiescent interval slice-selective (QISS)2 are
accurate nonenhanced MRA techniques for diagnosing intracranial and lower
extremity arterial disease, respectively. However, both methods only provide anatomic
evaluation of blood vessels, and do not quantify blood velocity or flow. Inspired
from recent work leveraging a thin-slab multi-echo stack-of-stars QISS protocol
for portraying the neck arteries3, we report 3D stack-of-stars
multi-echo variants of TOF and QISS, which we refer to as quantitative TOF
(qTOF) and quantitative QISS (qQISS), that simultaneously portray and quantify
blood flow velocity in the intracranial arteries. Portrayal of the intracranial
arteries with respect to the brain tissue for qTOF and qQISS is achieved
through time-of-flight-based saturation and/or inversion-recovery based suppression
of brain tissue, while blood flow velocity, directionality, and flow rate can
be quantified
throughout the intracranial arteries via 3D analysis of small blood flow
displacements between echo times.Methods
This
study was approved by our institutional review board and all participants (n=8,
4 male, age range=22-61 years) provided written informed consent. Imaging was
done on a 3T MRI system (MAGNETOM Skyrafit, Siemens Healthineers,
Erlangen) equipped with a 12-element head coil. Nonenhanced 3D qTOF and qQISS MRA of
the circle of Willis was done over 5.2cm of head-foot coverage with the
following parameters: 260×260mm2 field of view, 0.58×0.58×1.0mm3
spatial resolution reconstructed to 0.29×0.29×0.5mm3, fast low-angle shot readout with
echo times of 2.9-3.4ms (TE1), 5.1-5.6ms (TE2),
and 7.2-7.8ms (TE3), 213
radial views, qTOF/qQISS inter-echo TR of 21.1/13.1ms, flip angle 15°, QISS inversion-recovery period of 1500ms with a
TI of 1000ms, 3 axial slabs with 8 mm overlap, scan time of 4min 3s, tilted
optimized non-saturating (i.e. TONE) RF excitation, bandwidth 587Hz/pixel, flow
compensation of TE1 and TE3.
High-resolution MR angiograms were constructed using the TE1 data,
as well as by root-mean-square
combination3 of data acquired at TE1 and TE3 to improve signal-to-noise ratio (SNR). Arterial
blood flow displacement between TE1 and TE3 was quantified
in 3D using a custom computational framework leveraging center-of-mass
tracking and template matching. Blood flow velocity was computed
on a pixel-by-pixel basis as flow displacement (in distance units) divided by
the time elapsed between TE1 and TE3, followed by local smoothing.
For evaluation of arterial anatomy, qTOF and qQISS were compared to resolution-
and scan-time-matched conventional Cartesian 3D TOF MRA (TR/TE=21.0ms/3.4ms,
bandwidth 186Hz/pixel), and to resolution-matched 3D phase-contrast (PC)
MRA (TR/TE=47.8ms/7.3ms, flip angle 10°, venc=60cm/s,
bandwidth 440Hz/pixel, scan time 4min 40s). Mean cross-sectional blood
velocities obtained in the middle and posterior cerebral arteries (bilateral M1, M2, P2 segments) with qQISS and qTOF were compared to values
obtained with 3D PC MRA. In light of the low SNR of the resolution-matched 3D PC protocol, 3D PC was also acquired at the lower resolution of 1.2×1.2×1.3mm3
(reconstructed to 0.6×0.6×0.65mm3).Results
Figure 1 shows transversal
maximum intensity projections (MIP) images obtained with the multi-echo
stack-of-stars qTOF and qQISS techniques with respect to resolution-matched and
scan time-matched standard-of-care Cartesian TOF and 3D PC MRA techniques. Excellent
anatomical correlation of qTOF and qQISS MRA was found with respect to conventional
Cartesian TOF MRA, and both protocols provided superior SNR and arterial
delineation with respect to resolution-matched 3D PC MRA. Stack-of-stars qTOF
and qQISS also eliminated flow misregistration (i.e., signal “pileup”) artifact
seen with conventional Cartesian TOF MRA on transversal MIP images. Figure
2 shows examples of blood velocity maps provided by the qTOF and qQISS
techniques. Figure 3 shows the correlation of mean cross-sectional blood
flow velocity in the middle and posterior cerebral arteries between qTOF and qQISS
and lower resolution 3D PC MRA. Strong positive correlations (r=0.757
for qTOF, P=1.29×10-196; r=0.783 for qQISS, P=5.42×10-223)
with respect to 3D PC MRA were found.Discussion
We introduced two novel multi-echo
stack-of-stars based MRA techniques – “qTOF” and “qQISS” – along with a novel
computational framework that allows for high spatial resolution display of the
intracranial arteries and flow quantification in visualized arterial segments. Excellent
anatomical correlation of the intracranial arteries with both stack-of-stars qTOF
and qQISS was found with respect to conventional Cartesian TOF MRA, and strong positive
correlations for mean cross-sectional blood flow velocity were found with
respect to 3D PC MRA. qTOF and qQISS provided substantially higher SNR than
resolution-matched 3D PC MRA, while the use of a stack-of-stars
acquisition reduced flow misregistration artifact4 seen with conventional
Cartesian TOF MRA. Further improvements
in arterial-to-background contrast are anticipated with the application of
magnetization transfer contrast.Conclusion
In conclusion, qTOF and qQISS represent
new quantitative MRA methods that provide for high spatial resolution anatomic
evaluation of the intracranial arteries while allowing for simultaneous
quantification of blood flow in all visualized arteries. The techniques hold
promise for high-resolution anatomic and hemodynamic evaluation
of the intracranial vessels in a single time-efficient acquisition.Acknowledgements
FUNDING SOURCE: NIH grant R01
EB027475References
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