Patrick Winter1,2,3, Kristina Andelovic4, Thomas Kampf3,5, Volker Herold3, Alma Zernecke6, Peter Michael Jakob3, Wolfgang Rudolf Bauer7, David Marlevi8,9, and Susanne Schnell1,2
1Department of Medical Physics, University of Greifswald, Greifswald, Germany, 2Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 3Experimental Physics V, University of Wuerzburg, Wuerzburg, Germany, 4Department of Functional Materials in Medicine and Dentistry, University of Wuerzburg Institute of Functional Materials and Biofabrication (IFB), Wuerzburg, Germany, 5Department of Diagnostic and Interventional Radiology, University Clinics Wuerzburg, Wuerzburg, Germany, 6Institute of Experimental Biomedicine, University Clinics Wuerzburg, Wuerzburg, Germany, 7Department of Medical Clinic and Policlinic I, University Clinics Wuerzburg, Wuerzburg, Germany, 8Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden, 9Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States
Synopsis
Keywords: Flow, Blood vessels
Motivation: MRI-based relative pressure is a promising imaging biomarker. A new technique, vWERP, improves pressure estimations compared to more simplified approaches. Validated in clinical settings, it's unexplored in mouse models.
Goal(s): To apply the vWERP algorithm to MRI-microscopy for pressure measurements in wild-type and atherosclerotic mouse models.
Approach: 4D flow MRI was performed in wild-type and ApoE-/- mice. Post-processing involved segmenting the aorta, defining analysis planes, and calculating pressure drops using the vWERP algorithm for analysis.
Results: Using vWERP with 4D flow MRI shows promise for studying vascular disease hemodynamics. Preliminary findings suggest pressure as a robust parameter to examine changes in CVD progression.
Impact: Application of vWERP to MRI-microscopy in mice reveals high potential for assessing cardiovascular disease progression, particularly in studying pressure changes. This new diagnostic tool benefits vascular health studies in preclinical settings and may be used to study atherosclerotic plaque development.
Background:
4D flow magnetic
resonance imaging (MRI) is a promising imaging technique capable of
comprehensive blood flow quantification. The technique was already successfully
used across a broad range of applications to estimate hemodynamic behavior1.
Recently, a novel image processing technique for relative pressure measurements
based on 4D-hemodynamics was introduced: the virtual
Work-Energy Relative Pressure (vWERP) method. The technique
uses a virtual work-energy formulation of the Navier-Stokes equations, yielding
more accurate estimations of regional pressure changes in comparison to alternative
simplified approximations (e.g., the Bernoulli equation3). The vWERP
technique has been successfully validated in various clinical settings,
exhibiting excellent performance against invasive aortic catheter measurements2,
as well as in patient-specific model setups representing both intracardiac4
and cerebrovascular5 pressure differences. Up to now, however, all
studies have been focusing on human applications. For further knowledge of the
progression and hemodynamic mechanisms of cardiovascular disease (CVD), preclinical studies in mouse models are often required. Of particular
interest are mouse models that exhibit accelerated development of atherosclerotic
plaques, such as Apolipoprotein E deficient (ApoE-/-) mice. Significant morphological and hemodynamic changes have already been published6
during aging and the development of plaques. Also significant pressure
changes have been reported for these mouse models7, however, the
implementation of new robust non-invasive analysis techniques such as vWERP to MRI-microscopy
for more in-depth examinations has yet to be explored. Methods:
For this retrospective study, 4D flow MRI measurements in
the aortic arch of 12-week-old wild-type (WT) mice (n=10, female) and
12-week-old ApoE-/- mice which had received an 8-week western chow
diet (n=2, female) were selected. All 4D flow data was acquired at 17.6T within 32 minutes using the previously described self-navigated radial
phase contrast (PC) CINE sequence8. Cine 4D flow MR images were reconstructed
with 20 cardiac phases and an isotropic spatial resolution of 0.1 mm.
Semi-automatic segmentation was performed to extract the
aortic vessel geometry8. Subsequently, centerlines were computed in
MATLAB with a custom-built analysis tool1. Using the centerlines,
analysis planes were defined at four positions (see Figure 1a): A: In the ascending aorta. B: Between the brachiocephalic artery and the left common
carotid artery. C: Between the left common carotid artery and the left
subclavian artery. D: In the descending aorta. In all
analysis planes, the time-resolved peak velocity values and volume flow rates
were computed.
The pressure drop (dP)
between an inlet and outlet plane was calculated with the vWERP algorithm,
which was derived from the Navier Stokes equations2.
$$dP=-\frac{ 1 }{Q_e} \cdot \left(\frac{\partial }{\partial t} K_e + A_e + V_e \right )$$
Ke, Ae, Ve and Qe are virtual energy and flow
values computed with vWERP as previously described2.
Here, the inlet plane
is defined by analysis plane A (see Figure 1a) while the outlet plane is
defined by planes B-D, respectively. Temporal resolved relative pressure
values and the peak pressure values were computed. For statistical comparisons,
a Mann-Whitney-U and a double T-test was used. Normal distribution was tested
using a Lilifors test.
Results
Figure 1b-d displays
the time-resolved relative pressure values of 10 WT mice. With increasing plane
index, a significant and progressively larger pressure drop is observable.
Figure 2a-c shows a comparison of the median pressure values determined in WT
mice (including interquartile range IQR) with two measurements in ApoE-/- mice.
Figure 2d illustrates the corresponding peak pressure values. Between planes A
and B and between B and C, significantly elevated pressure
values were observed in comparison to healthy controls (B-A: p=0.0083; C-A:
0.029). In Figure 3, the time resolved peak velocity and flow rate values are
shown for both groups. Significant differences of peak velocity and flow values
were observed between analysis planes, however, not between the two phenotypes
(Figure 4).Discussion and Conclusion
The relative pressure
estimation based on 4D flow MRI using vWERP is a promising tool for studying
hemodynamic changes in vascular diseases. Its advantages have already been
demonstrated in a variety of human applications. In this abstract, we applied
the vWERP algorithm for the first time to measurements in the aortic arch of WT
and ApoE-/- mice, expanding the range of applications to MRI-microscopy.
Preliminary pressure results indicated significant differences between the
diseased animal group and the controls while no significant differences were
observed for the other flow parameters. This
may suggest that pressure could be a more robust parameter to examine
hemodynamic changes. In the future, this hypothesis will be tested by applying
the algorithm to a larger cohort of atherosclerotic mice to study its potential
use as a diagnosis tool for characterization of CVD progression.Acknowledgements
This work was funded by
the German Research Foundation (ZE827/15-1, BA 1069/14-1, HA 7152/8-1, HE
7108/3-1, SFB1158/A10) and the National Institutes of Health (NIH 1R01HL149787,
5R21NS122511). DM acknowledges funding from the Knut and Alice Wallenberg Foundation
and the European Union (ERC, MultiPRESS, 101075494).References
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