Using 4D cardiovascular magnetic resonance imaging to validate computational fluid dynamics: a case study
Computational fluid dynamics (CFD) can have a complementary predictive role alongside the exquisite visualization capabilities of 4D cardiovascular magnetic resonance (CMR) imaging. In order to exploit these capabilities (e.g. for decision-making) it is necessary to validate computational models aga...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2015-12-01
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| Series: | Frontiers in Pediatrics |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fped.2015.00107/full |
| _version_ | 1828492728429707264 |
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| author | Giovanni eBiglino Daria eCosentino Jennifer eSteeden Lorenzo eDe Nova Matteo eCastelli Hopewell eNtsinjana Giancarlo ePennati Andrew eTaylor Silvia eSchievano |
| author_facet | Giovanni eBiglino Daria eCosentino Jennifer eSteeden Lorenzo eDe Nova Matteo eCastelli Hopewell eNtsinjana Giancarlo ePennati Andrew eTaylor Silvia eSchievano |
| author_sort | Giovanni eBiglino |
| collection | DOAJ |
| description | Computational fluid dynamics (CFD) can have a complementary predictive role alongside the exquisite visualization capabilities of 4D cardiovascular magnetic resonance (CMR) imaging. In order to exploit these capabilities (e.g. for decision-making) it is necessary to validate computational models against real world data. In this study we sought to acquire 4D CMR flow data in a controllable, experimental setup and use these data to validate a corresponding computational model. We applied this paradigm to a case of congenital heart disease, namely transposition of the great arteries (TGA) repaired with arterial switch operation (ASO). For this purpose, a mock circulatory loop compatible with the CMR environment was constructed and two detailed aortic 3D models (i.e. one TGA case and one normal aortic anatomy) were tested under realistic hemodynamic conditions, acquired 4D CMR flow. The same 3D domains were used for multi-scale CFD simulations, whereby the remainder of the mock circulatory system was appropriately summarized with a lumped parameter network (LPN). Boundary conditions of the simulations mirrored those measured in vitro. Results showed a very good quantitative agreement between experimental and computational models in terms of pressure (overall maximum % error = 4.4% aortic pressure in the control anatomy) and flow distribution data (overall maximum % error = 3.6% at the subclavian artery outlet of the TGA model). Very good qualitative agreement could also be appreciated in terms of streamlines, throughout the cardiac cycle. Additionally, velocity vectors in the ascending aorta revealed less symmetrical flow in the TGA model, which also exhibited higher wall shear stress in the anterior ascending aorta. |
| first_indexed | 2024-12-11T11:25:41Z |
| format | Article |
| id | doaj.art-dd4e0036fbe54f74921b070a6cb15c0b |
| institution | Directory Open Access Journal |
| issn | 2296-2360 |
| language | English |
| last_indexed | 2024-12-11T11:25:41Z |
| publishDate | 2015-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pediatrics |
| spelling | doaj.art-dd4e0036fbe54f74921b070a6cb15c0b2022-12-22T01:09:01ZengFrontiers Media S.A.Frontiers in Pediatrics2296-23602015-12-01310.3389/fped.2015.00107151141Using 4D cardiovascular magnetic resonance imaging to validate computational fluid dynamics: a case studyGiovanni eBiglino0Daria eCosentino1Jennifer eSteeden2Lorenzo eDe Nova3Matteo eCastelli4Hopewell eNtsinjana5Giancarlo ePennati6Andrew eTaylor7Silvia eSchievano8University College London (Institute of Cardiovascular Science)University College London (Institute of Cardiovascular Science)University College London (Institute of Cardiovascular Science)Politecnico di MilanoPolitecnico di MilanoUniversity College London (Institute of Cardiovascular Science)Politecnico di MilanoUniversity College London (Institute of Cardiovascular Science)University College London (Institute of Cardiovascular Science)Computational fluid dynamics (CFD) can have a complementary predictive role alongside the exquisite visualization capabilities of 4D cardiovascular magnetic resonance (CMR) imaging. In order to exploit these capabilities (e.g. for decision-making) it is necessary to validate computational models against real world data. In this study we sought to acquire 4D CMR flow data in a controllable, experimental setup and use these data to validate a corresponding computational model. We applied this paradigm to a case of congenital heart disease, namely transposition of the great arteries (TGA) repaired with arterial switch operation (ASO). For this purpose, a mock circulatory loop compatible with the CMR environment was constructed and two detailed aortic 3D models (i.e. one TGA case and one normal aortic anatomy) were tested under realistic hemodynamic conditions, acquired 4D CMR flow. The same 3D domains were used for multi-scale CFD simulations, whereby the remainder of the mock circulatory system was appropriately summarized with a lumped parameter network (LPN). Boundary conditions of the simulations mirrored those measured in vitro. Results showed a very good quantitative agreement between experimental and computational models in terms of pressure (overall maximum % error = 4.4% aortic pressure in the control anatomy) and flow distribution data (overall maximum % error = 3.6% at the subclavian artery outlet of the TGA model). Very good qualitative agreement could also be appreciated in terms of streamlines, throughout the cardiac cycle. Additionally, velocity vectors in the ascending aorta revealed less symmetrical flow in the TGA model, which also exhibited higher wall shear stress in the anterior ascending aorta.http://journal.frontiersin.org/Journal/10.3389/fped.2015.00107/fullValidationRapid prototypingcongenital heart disease (CHD)cardiovascular magnetic resonance imagingMock circulatory loop |
| spellingShingle | Giovanni eBiglino Daria eCosentino Jennifer eSteeden Lorenzo eDe Nova Matteo eCastelli Hopewell eNtsinjana Giancarlo ePennati Andrew eTaylor Silvia eSchievano Using 4D cardiovascular magnetic resonance imaging to validate computational fluid dynamics: a case study Frontiers in Pediatrics Validation Rapid prototyping congenital heart disease (CHD) cardiovascular magnetic resonance imaging Mock circulatory loop |
| title | Using 4D cardiovascular magnetic resonance imaging to validate computational fluid dynamics: a case study |
| title_full | Using 4D cardiovascular magnetic resonance imaging to validate computational fluid dynamics: a case study |
| title_fullStr | Using 4D cardiovascular magnetic resonance imaging to validate computational fluid dynamics: a case study |
| title_full_unstemmed | Using 4D cardiovascular magnetic resonance imaging to validate computational fluid dynamics: a case study |
| title_short | Using 4D cardiovascular magnetic resonance imaging to validate computational fluid dynamics: a case study |
| title_sort | using 4d cardiovascular magnetic resonance imaging to validate computational fluid dynamics a case study |
| topic | Validation Rapid prototyping congenital heart disease (CHD) cardiovascular magnetic resonance imaging Mock circulatory loop |
| url | http://journal.frontiersin.org/Journal/10.3389/fped.2015.00107/full |
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