Eva L. Leemans1,2, Bart M.W. Cornelissen1,2,3, Rebecca J.I. Bot1,4, Gerben A. te Rieg o/g Scholten3, Charles B.L.M. Majoie2, Bram F. Coolen1, Henk A. Marquering1,2, and Cees H. Slump3
1Biomedical engineering and physics, AMC, Amsterdam, Netherlands, 2Radiology and Nuclear Medicine, AMC, Amsterdam, Netherlands, 3MIRA Institute for Biomedical Engineering and Technical Medicine, University of Twente, Enschede, Netherlands, 4Biomedical Sciences, VU university, Amsterdam, Netherlands
Synopsis
To reliably assess the
vessel wall, adequate blood suppression is of high importance. Most black-blood vessel wall MRI sequences rely on flow sensitive
signal attenuation. Intra-aneurysmal flow is often chaotic with slower flows
near the aneurysm wall. Therefore, certain regions within the aneurysm might be
more difficult to suppress. In this study we developed a phantom set-up to evaluate slow flow artefacts in vessel wall MRI
of intracranial aneurysms. This
setup allows to study the sensitivity of different vessel wall MRI sequences
(e.g. DANTE, MSDE, 3D TSE) in relation to specific
aneurysm geometries and contrast agent concentrations.
Introduction:
Vessel wall MRI is
increasingly used as a clinical tool for evaluating wall thickness in intracranial
aneurysms.[1,2] Additionally, vessel wall enhancement could be evaluated
after contrast administration, reflecting various aspects of aneurysm pathology, such
as inflammation. Previous studies have shown that wall enhancement helps to
identify ruptured aneurysms in patients with subarachnoid haemorrhage and
multiple aneurysms.[2] Some unruptured aneurysms also show wall enhancement,
which might indicate instability.[3–5] To reliably assess the degree of vessel wall
enhancement, adequate blood suppression is of high importance. This has led to
the development of multiple black-blood vessel wall MRI sequences.[1,6,7] Most of these methods rely on flow sensitive
signal attenuation. Intra-aneurysmal flow is often chaotic with slower flows
near the aneurysm wall. Therefore, certain regions within the aneurysm might be
more difficult to suppress. This could lead to 'pseudo' wall enhancement and misinterpretation
of the aneurysm stability. It is therefore important to assess the performance
of vessel wall MRI sequences in a controlled setting with different aneurysm
geometries and contrast agent concentrations. The aim of this study was to
create such a phantom set-up accurately mimicking aneurysm geometries for evaluating
slow flow artefacts from vessel wall MRI.Methods:
Two 3D printed vascular models were generated based on 3T TOF-MRA data of
a single patient with an intracranial aneurysm, see Figure 1. The first phantom
includes the actual aneurysm, with a diameter of 7.5mm. For the second phantom,
the aneurysm was adjusted to reduce the maximum diameter to 3.5mm. The phantom
was connected to a pulsatile flow pump (Figure 2). Imaging was performed on a
3.0-T MR system (Philips Healthcare, the Netherlands) using a 16-channel SENSE head coil. For
this feasibility study, we chose a 3D VISTA vessel wall MRI sequence (Philips Healthcare, the Netherlands) with
the following parameters: TR/TE = 1500/31.7 ms, TSEfactor = 56, resolution =
0.7mm isotropic, acquisition time = 10 min. We performed measurements using
three different concentrations (0, 0.125 and 0.5 mmol/l) of gadobutrol
(Gadovist, Bayer BV, Netherlands). The highest concentration corresponds to the
recommended concentrations in vivo. At each concentration, two flow settings
(1.1ml/s and 3.1ml/s), which correspond to physiological flow range, were used.
Finally, a computational fluid dynamics (CFD) analysis was performed to
evaluate flow characteristics in the aneurysm using fluent (Ansys, USA). Results:
Good flow suppression
was obtained for the feeding parent artery. However, in both aneurysms at all
scan conditions, a higher signal intensity was observed (Figure 3), which
increased with increasing contrast agent concentrations. Moreover, the observed
high signal intensities were predominantly near the aneurysm wall as well as in
the centre of the aneurysm lumen, which corresponded with areas of low velocity
on CFD (Figure 4). In
the presented setup, we noticed some leakage of contrast agent near the
connectors, influencing the agar signal but not the signal within the aneurysm.
This has been prevented in our current set-up. Discussion
We
presented a set-up to evaluate slow flow artefacts vessel wall MRI of
intracranial aneurysms. Our data shows that slow flow artefacts can mimic
aneurysm wall and wall enhancement, as the effect increases with contrast concentration. In in vivo aneurysm imaging this signal could be falsely
interpreted as a thicker or enhanced wall. Therefore, aneurysms might be erroneously
categorised as unstable. Although our current study used a specific vessel wall imaging sequence (variable flip angle TSE), our set-up can be used to study the effect of variations in sequences and parameters and to design new sequences with better flow suppression characteristics. Conclusion:
A patient-specific phantom set-up was developed to evaluate slow flow artefacts in vessel wall MRI
of intracranial aneurysms. This setup allows to study the sensitivity of
different vessel wall MRI sequences (e.g. DANTE, MSDE, 3D TSE) for generating slow
flow artefacts in relation to specific aneurysm geometries in more detail.Acknowledgements
No acknowledgement found.References
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