Ioannis Koktzoglou1,2, Rong Huang1, and Robert R Edelman1,3
1Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 2Radiology, Pritzker School of Medicine, University of Chicago, Chicago, IL, United States, 3Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
Synopsis
Quantitative time of flight (qTOF) is a recently described
3D magnetic resonance angiography (MRA) technique for simultaneous luminal and
hemodynamic evaluation of the intracranial arteries, that provides higher contrast-to-noise
ratio efficiency than 3D phase contrast (PC) MRA and reduces in-plane flow
displacement artifacts visible on standard 3D TOF MRA. We hypothesized
that the use of a quiescent interval slice-selective-based data acquisition strategy
(qQISS) that boosts arterial-to-background contrast might improve the quantitation
of intracranial arterial flow velocity. Compared to qTOF MRA, we found that qQISS
MRA improved agreement with PC MRA for measuring intracranial blood velocity.
Introduction
Quantitative time of flight (qTOF) is a recently described
3D magnetic resonance angiography (MRA) technique for simultaneous luminal and
hemodynamic evaluation of the intracranial arteries1. The method provides higher a contrast-to-noise
ratio efficiency than 3D phase contrast (PC) MRA for high-resolution morphological evaluation of the intracranial arteries and reduces in-plane flow
displacement artifacts visible on standard 3D TOF MRA1. We hypothesized
that the use of a quiescent interval slice-selective-based data acquisition strategy
(qQISS) that boosts arterial-to-background contrast might improve the quantitation
of intracranial arterial flow velocity. The purpose of this study was to test whether qQISS MRA, as compared to qTOF MRA, provides
intracranial flow velocities that are in better agreement with 3D phase
contrast (PC) MRA.Methods
This study was approved by our institutional review board and
all subjects provided written informed consent. 8 human subjects (3 males, 5
females, mean age = 38±16 years) were involved in this study. Imaging was done on
a 3 Tesla MRI system (MAGNETOM Skyrafit, Siemens Healthineers).
Image Acquisition:
3D qTOF, 3D qQISS, and 3D phase contrast MRA (velocity encoding
sensitivity=60cm/s) were acquired using ≈4min-3sec-long protocols, with
acquired [reconstructed] spatial resolutions of 0.58×0.58×1.00 [0.29×0.29×0.50] mm3
(for qTOF and qQISS) and 0.85×0.85×1.30 [0.43×0.43×0.65] mm3
(for 3D PC). Slightly lower spatial resolution was acquired with
3D PC to maintain similar scan times and adequate signal-to-noise ratio. Imaging
parameters for qTOF MRA were as previously described1 (TR=21ms,
TEs of 2.9ms and 7.2ms, sequence TR=1500ms, tilted optimized non-saturating RF
pulses with central flip angle of 15 degrees, 3 imaging shots acquired per
partition, 71 radial views acquired in each imaging shot, 3 overlapping imaging
slabs) whereas those for qQISS were similar except for TR=13ms
and
TI=1000ms. Schematic timing
diagrams of the imaging shots used with qTOF and qQISS MRA are shown in Figure
1.
Velocity Quantitation and Data Analysis: Flow velocity quantitation with qTOF and
qQISS was done as previously described1, using an image
analysis framework leveraging template matching and center-of-mass-based tracking.
Time-averaged mean cross-sectional flow velocities were measured every 1.8mm along
the bilateral M1, M2, P1, and P2 cerebral arteries. Correlation and agreement
of quantitative flow velocity measures were evaluated using Pearson’s
correlation coefficient (r), two-way intraclass correlation coefficient for
absolute agreement (ICC), and Bland-Altman analysis.Results
qQISS MRA visually demonstrated lower signal intensity from background brain tissue as compared with qTOF MRA while still portraying the main intracranial arteries (Figure 2). With reference to 3D PC and compared against qTOF, qQISS MRA demonstrated improved correlation (r=0.757 versus 0.689; 95% confidence intervals (CIs) of [0.732,0.781] versus [0.657,0.718]) and agreement (ICC=0.755 versus 0.678; 95% CIs of [0.729,0.779] versus [0.633,0.717]) of velocity measures (Figure 3), as well as reduced Bland-Altman mean bias (-0.36 cm/s versus -1.14 cm/s) and narrower 95% limits of agreement ([-9.46 cm/s,+8.47 cm/s] versus [-11.1 cm/s,+8.84 cm/s]) (Figure 4).Discussion
Compared to qTOF, qQISS MRA of the brain improves the
correlation and agreement of quantitative flow velocity measures with respect
to 3D PC MRA. Consequently, qQISS MRA may be preferred over qTOF MRA for
simultaneous luminal and hemodynamic evaluation of the intracranial arteries
when better agreement with PC MRA measures of flow velocity is desirable. We
speculate that the improved agreement of qQISS-derived measures is due to
improved arterial-to-background contrast, which likely reduces the influence of
static non-vascular background signals during the image analysis procedure used
for velocity quantitation. Future work will seek to incorporate other image
acquisition, reconstruction, and analysis strategies to further improve
agreement of flow velocity measures, while
further testing and validating the qTOF and qQISS techniques for simultaneous
morphologic and hemodynamic evaluation of the intracranial arteries in patients
with cerebrovascular disease.Conclusion
Compared to qTOF, qQISS MRA improves the correlation and
agreement of intracranial time-averaged mean cross-sectional flow velocity measures
with respect to 3D phase contrast.Acknowledgements
NIH NIBIB R01EB027475References
1. Koktzoglou I, Huang
R, Edelman RR. Quantitative Time-of-Flight MR Angiography for Simultaneous
Luminal and Hemodynamic Evaluation of the Intracranial Arteries. Magn Reson
Med. 2021 Aug 10. doi: 10.1002/mrm.28969. Online ahead of print.