Porous medium 3D flow simulation of contrast media washout in cardiac MRI reflects myocardial injury

Purpose Myocardial blood–flow simulation based on laws of fluid mechanics is a valuable tool for understanding tissue behavior. Our aim is to evaluate the ability of a porous‐media flow model approach to reflect disturbed washout of contrast media (CM) from the myocardium as observed by cardiovascul...

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Veröffentlicht in:Magnetic resonance in medicine Jg. 82; H. 2; S. 775 - 785
Hauptverfasser: Riazy, Leili, Schaeffter, Tobias, Olbrich, Marc, Schueler, Johannes, Knobelsdorff‐Brenkenhoff, Florian, Niendorf, Thoralf, Schulz‐Menger, Jeanette
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Wiley Subscription Services, Inc 01.08.2019
Schlagworte:
Cardiac Imaging Techniques - methods
Computational fluid dynamics
Computer Simulation
Contrast agents
Contrast media
Contrast Media - chemistry
Contrast Media - pharmacokinetics
contrast medium kinetics
Datasets
Feasibility studies
fibrosis
Flow simulation
Fluid flow
Fluid mechanics
Gadolinium - chemistry
Gadolinium - pharmacokinetics
Heart - diagnostic imaging
Heart diseases
Humans
Image Interpretation, Computer-Assisted
Image registration
late gadolinium enhancement
Magnetic resonance imaging
Myocarditis
Myocarditis - diagnostic imaging
Myocardium
Porous media
Simulation
Three dimensional flow
contrast medium kinetics
flow simulation
magnetic resonance imaging
fibrosis
late gadolinium enhancement
ISSN:0740-3194, 1522-2594, 1522-2594
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Zusammenfassung:Purpose Myocardial blood–flow simulation based on laws of fluid mechanics is a valuable tool for understanding tissue behavior. Our aim is to evaluate the ability of a porous‐media flow model approach to reflect disturbed washout of contrast media (CM) from the myocardium as observed by cardiovascular MR. Methods A coupled advection‐diffusion model is used to describe the CM flow in the vascular and extravascular space as separate compartments. Their exchange of CM is controlled by the exchange rate ExR, which in turn determines the washout behavior. We fitted simulations to CM concentration measurements, derived from T1 maps of the midventricular slice. The CM concentration was extracted from 18 patients with myocarditis in the acute phase and during follow‐up after 6 months. The results were compared with 18 sex‐ and age‐matched controls. For each subject, the measurements were acquired before and during the first 10 minutes at 5 time points after CM administration, representing CM washout. Image registration was applied to compensate for motion between different time points. Results Eight matched data sets had to be excluded due to low registration quality. Processing was successful in n = 10 matched data sets of acute and healed myocarditis as well as controls. Significant differences in ExR were observed when comparing patients with acute myocarditis to controls (P < .001), to their follow‐up (P < .05), and the follow‐up to controls (P < .05). Conclusion Our study suggests the feasibility of using the proposed porous‐medium flow framework for the simulation of pathologic myocardial tissue.
Bibliographie:ObjectType-Article-1
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ISSN:0740-3194
1522-2594
1522-2594
DOI:10.1002/mrm.27756