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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| Vydáno v: | Magnetic resonance in medicine Ročník 82; číslo 2; s. 775 - 785 |
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| Hlavní autoři: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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United States
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01.08.2019
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| ISSN: | 0740-3194, 1522-2594, 1522-2594 |
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| Abstract | 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. |
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| AbstractList | 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.PURPOSEMyocardial 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.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.METHODSA 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.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).RESULTSEight 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).Our study suggests the feasibility of using the proposed porous-medium flow framework for the simulation of pathologic myocardial tissue.CONCLUSIONOur study suggests the feasibility of using the proposed porous-medium flow framework for the simulation of pathologic myocardial tissue. 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. 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. 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 , which in turn determines the washout behavior. We fitted simulations to CM concentration measurements, derived from T 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. 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 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). Our study suggests the feasibility of using the proposed porous-medium flow framework for the simulation of pathologic myocardial tissue. PurposeMyocardial 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.MethodsA 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.ResultsEight 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).ConclusionOur study suggests the feasibility of using the proposed porous‐medium flow framework for the simulation of pathologic myocardial tissue. |
| Author | Schulz‐Menger, Jeanette Olbrich, Marc Knobelsdorff‐Brenkenhoff, Florian Schueler, Johannes Schaeffter, Tobias Niendorf, Thoralf Riazy, Leili |
| Author_xml | – sequence: 1 givenname: Leili orcidid: 0000-0001-8294-1194 surname: Riazy fullname: Riazy, Leili email: Leili.riazy@charite.de organization: Charité ‐ Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of Health, ECRC – sequence: 2 givenname: Tobias surname: Schaeffter fullname: Schaeffter, Tobias organization: Physikalisch‐Technische Bundesanstalt – sequence: 3 givenname: Marc surname: Olbrich fullname: Olbrich, Marc organization: Technical University Berlin – sequence: 4 givenname: Johannes surname: Schueler fullname: Schueler, Johannes organization: HELIOS Klinikum Berlin Buch – sequence: 5 givenname: Florian surname: Knobelsdorff‐Brenkenhoff fullname: Knobelsdorff‐Brenkenhoff, Florian organization: University of Munich – sequence: 6 givenname: Thoralf surname: Niendorf fullname: Niendorf, Thoralf organization: DZHK, German Center for Cardiovascular Research – sequence: 7 givenname: Jeanette surname: Schulz‐Menger fullname: Schulz‐Menger, Jeanette organization: HELIOS Klinikum Berlin Buch |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30989720$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.jacc.2004.11.069 10.1161/01.CIR.97.18.1802 10.1137/S0036144503429121 10.1002/mrm.20110 10.1016/j.cma.2017.06.019 10.1007/3-540-26420-5_5 10.1161/01.RES.67.4.826 10.1002/cnm.2520 10.1161/CIRCIMAGING.116.005242 10.1093/eurheartj/eht210 10.1088/0031-9155/57/2/R1 10.1002/mrm.21066 10.1029/92WR02467 10.1002/mrm.22018 10.1016/j.jacc.2009.02.007 10.1113/jphysiol.1919.sp001839 10.1002/jmri.21286 10.1002/mrm.25726 10.1002/mrm.1910170208 10.1007/BF01036523 10.1002/jmri.1880070113 10.1016/j.media.2014.07.002 10.1002/jmri.20910 10.1136/hrt.2008.164061 10.1201/9781420006001 10.1038/jcbfm.1983.1 10.1161/01.CIR.0000118493.13323.81 10.2307/2153224 10.1093/eurjhf/hfr052 10.1137/0141016 10.1016/j.hlc.2011.09.005 10.1186/1532-429X-15-35 10.1016/j.mri.2017.09.010 10.1002/mrm.21767 10.1007/978-3-319-11259-6_7-1 |
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| Keywords | contrast medium kinetics flow simulation magnetic resonance imaging fibrosis late gadolinium enhancement |
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Myocardial blood–flow simulation based on laws of fluid mechanics is a valuable tool for understanding tissue behavior. Our aim is to evaluate the... 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... PurposeMyocardial blood–flow simulation based on laws of fluid mechanics is a valuable tool for understanding tissue behavior. Our aim is to evaluate the... |
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| SubjectTerms | 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 |
| Title | Porous medium 3D flow simulation of contrast media washout in cardiac MRI reflects myocardial injury |
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