CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics
BackgroundCardiac computed tomography (CCT) based computational fluid dynamics (CFD) allows to assess intracardiac flow features, which are hypothesized as an early predictor for heart diseases and may support treatment decisions. However, the understanding of intracardiac flow is challenging due to...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Cardiovascular Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2022.901902/full |
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| author | Leonid Goubergrits Leonid Goubergrits Katharina Vellguth Lukas Obermeier Adriano Schlief Lennart Tautz Jan Bruening Hans Lamecker Angelika Szengel Olena Nemchyna Christoph Knosalla Christoph Knosalla Christoph Knosalla Titus Kuehne Titus Kuehne Natalia Solowjowa |
| author_facet | Leonid Goubergrits Leonid Goubergrits Katharina Vellguth Lukas Obermeier Adriano Schlief Lennart Tautz Jan Bruening Hans Lamecker Angelika Szengel Olena Nemchyna Christoph Knosalla Christoph Knosalla Christoph Knosalla Titus Kuehne Titus Kuehne Natalia Solowjowa |
| author_sort | Leonid Goubergrits |
| collection | DOAJ |
| description | BackgroundCardiac computed tomography (CCT) based computational fluid dynamics (CFD) allows to assess intracardiac flow features, which are hypothesized as an early predictor for heart diseases and may support treatment decisions. However, the understanding of intracardiac flow is challenging due to high variability in heart shapes and contractility. Using statistical shape modeling (SSM) in combination with CFD facilitates an intracardiac flow analysis. The aim of this study is to prove the usability of a new approach to describe various cohorts.Materials and MethodsCCT data of 125 patients (mean age: 60.6 ± 10.0 years, 16.8% woman) were used to generate SSMs representing aneurysmatic and non-aneurysmatic left ventricles (LVs). Using SSMs, seven group-averaged LV shapes and contraction fields were generated: four representing patients with and without aneurysms and with mild or severe mitral regurgitation (MR), and three distinguishing aneurysmatic patients with true, intermediate aneurysms, and globally hypokinetic LVs. End-diastolic LV volumes of the groups varied between 258 and 347 ml, whereas ejection fractions varied between 21 and 26%. MR degrees varied from 1.0 to 2.5. Prescribed motion CFD was used to simulate intracardiac flow, which was analyzed regarding large-scale flow features, kinetic energy, washout, and pressure gradients.ResultsSSMs of aneurysmatic and non-aneurysmatic LVs were generated. Differences in shapes and contractility were found in the first three shape modes. Ninety percent of the cumulative shape variance is described with approximately 30 modes. A comparison of hemodynamics between all groups found shape-, contractility- and MR-dependent differences. Disturbed blood washout in the apex region was found in the aneurysmatic cases. With increasing MR, the diastolic jet becomes less coherent, whereas energy dissipation increases by decreasing kinetic energy. The poorest blood washout was found for the globally hypokinetic group, whereas the weakest blood washout in the apex region was found for the true aneurysm group.ConclusionThe proposed CCT-based analysis of hemodynamics combining CFD with SSM seems promising to facilitate the analysis of intracardiac flow, thus increasing the value of CCT for diagnostic and treatment decisions. With further enhancement of the computational approach, the methodology has the potential to be embedded in clinical routine workflows and support clinicians. |
| first_indexed | 2024-12-11T18:41:42Z |
| format | Article |
| id | doaj.art-8950131c129d442084309aac3bc6ad48 |
| institution | Directory Open Access Journal |
| issn | 2297-055X |
| language | English |
| last_indexed | 2024-12-11T18:41:42Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cardiovascular Medicine |
| spelling | doaj.art-8950131c129d442084309aac3bc6ad482022-12-22T00:54:35ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2022-07-01910.3389/fcvm.2022.901902901902CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid DynamicsLeonid Goubergrits0Leonid Goubergrits1Katharina Vellguth2Lukas Obermeier3Adriano Schlief4Lennart Tautz5Jan Bruening6Hans Lamecker7Angelika Szengel8Olena Nemchyna9Christoph Knosalla10Christoph Knosalla11Christoph Knosalla12Titus Kuehne13Titus Kuehne14Natalia Solowjowa15Institute of Computer-Assisted Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, GermanyEinstein Center Digital Future, Berlin, GermanyInstitute of Computer-Assisted Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, GermanyInstitute of Computer-Assisted Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, GermanyInstitute of Computer-Assisted Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, GermanyFraunhofer Institute for Digital Medicine MEVIS, Bremen, GermanyInstitute of Computer-Assisted Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany1000shapes, Berlin, Germany1000shapes, Berlin, GermanyDepartment of Cardiothoracic and Vascular Surgery, German Heart Center Berlin, Berlin, GermanyDepartment of Cardiothoracic and Vascular Surgery, German Heart Center Berlin, Berlin, GermanyGerman Centre for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, GermanyCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, GermanyInstitute of Computer-Assisted Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, GermanyGerman Centre for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, GermanyDepartment of Cardiothoracic and Vascular Surgery, German Heart Center Berlin, Berlin, GermanyBackgroundCardiac computed tomography (CCT) based computational fluid dynamics (CFD) allows to assess intracardiac flow features, which are hypothesized as an early predictor for heart diseases and may support treatment decisions. However, the understanding of intracardiac flow is challenging due to high variability in heart shapes and contractility. Using statistical shape modeling (SSM) in combination with CFD facilitates an intracardiac flow analysis. The aim of this study is to prove the usability of a new approach to describe various cohorts.Materials and MethodsCCT data of 125 patients (mean age: 60.6 ± 10.0 years, 16.8% woman) were used to generate SSMs representing aneurysmatic and non-aneurysmatic left ventricles (LVs). Using SSMs, seven group-averaged LV shapes and contraction fields were generated: four representing patients with and without aneurysms and with mild or severe mitral regurgitation (MR), and three distinguishing aneurysmatic patients with true, intermediate aneurysms, and globally hypokinetic LVs. End-diastolic LV volumes of the groups varied between 258 and 347 ml, whereas ejection fractions varied between 21 and 26%. MR degrees varied from 1.0 to 2.5. Prescribed motion CFD was used to simulate intracardiac flow, which was analyzed regarding large-scale flow features, kinetic energy, washout, and pressure gradients.ResultsSSMs of aneurysmatic and non-aneurysmatic LVs were generated. Differences in shapes and contractility were found in the first three shape modes. Ninety percent of the cumulative shape variance is described with approximately 30 modes. A comparison of hemodynamics between all groups found shape-, contractility- and MR-dependent differences. Disturbed blood washout in the apex region was found in the aneurysmatic cases. With increasing MR, the diastolic jet becomes less coherent, whereas energy dissipation increases by decreasing kinetic energy. The poorest blood washout was found for the globally hypokinetic group, whereas the weakest blood washout in the apex region was found for the true aneurysm group.ConclusionThe proposed CCT-based analysis of hemodynamics combining CFD with SSM seems promising to facilitate the analysis of intracardiac flow, thus increasing the value of CCT for diagnostic and treatment decisions. With further enhancement of the computational approach, the methodology has the potential to be embedded in clinical routine workflows and support clinicians.https://www.frontiersin.org/articles/10.3389/fcvm.2022.901902/fullcardiac computed tomographyintraventricular hemodynamicsstatistical shape modelingfluid-structure interactioncomputational fluid dynamicsleft ventricle aneurysms |
| spellingShingle | Leonid Goubergrits Leonid Goubergrits Katharina Vellguth Lukas Obermeier Adriano Schlief Lennart Tautz Jan Bruening Hans Lamecker Angelika Szengel Olena Nemchyna Christoph Knosalla Christoph Knosalla Christoph Knosalla Titus Kuehne Titus Kuehne Natalia Solowjowa CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics Frontiers in Cardiovascular Medicine cardiac computed tomography intraventricular hemodynamics statistical shape modeling fluid-structure interaction computational fluid dynamics left ventricle aneurysms |
| title | CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics |
| title_full | CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics |
| title_fullStr | CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics |
| title_full_unstemmed | CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics |
| title_short | CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics |
| title_sort | ct based analysis of left ventricular hemodynamics using statistical shape modeling and computational fluid dynamics |
| topic | cardiac computed tomography intraventricular hemodynamics statistical shape modeling fluid-structure interaction computational fluid dynamics left ventricle aneurysms |
| url | https://www.frontiersin.org/articles/10.3389/fcvm.2022.901902/full |
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