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An Image-Based Computational Fluid Dynamics Study of Mitral Regurgitation in Presence of Prolapse
- Source :
- Cardiovascular Engineering and Technology.
- Publication Year :
- 2023
- Publisher :
- Springer Science and Business Media LLC, 2023.
-
Abstract
- Purpose In this work we performed an imaged-based computational study of the systolic fluid dynamics in presence of mitral valve regurgitation (MVR). In particular, we compared healthy and different regurgitant scenarios with the aim of quantifying different hemodynamic quantities. Methods We performed computational fluid dynamic (CFD) simulations in the left ventricle, left atrium and aortic root, with a resistive immersed method, a turbulence model, and with imposed systolic wall motion reconstructed from Cine-MRI images, which allowed us to segment also the mitral valve. For the regurgitant scenarios we considered an increase of the heart rate and a dilation of the left ventricle. Results Our results highlighted that MVR gave rise to regurgitant jets through the mitral orifice impinging against the atrial walls and scratching against the mitral valve leading to high values of wall shear stresses (WSSs) with respect to the healthy case. Conclusion CFD with prescribed wall motion and immersed mitral valve revealed to be an effective tool to quantitatively describe hemodynamics in case of MVR and to compare different regurgitant scenarios. Our findings highlighted in particular the presence of transition to turbulence in the atrium and allowed us to quantify some important cardiac indices such as cardiac output and WSS.
- Subjects :
- model
Image-based computational fluid dynamics
valve-prolapse
Biomedical Engineering
mechanism
left-ventricle
outcomes
numerical-simulation
surgery
atrial-fibrillation
echocardiography
Wall shear stresses
Cardiology and Cardiovascular Medicine
management
Cine-MRI images
Mitral valve regurgitation
Subjects
Details
- ISSN :
- 18694098 and 1869408X
- Database :
- OpenAIRE
- Journal :
- Cardiovascular Engineering and Technology
- Accession number :
- edsair.doi.dedup.....75ff536f9a438c7d03f45c47dd7a67c6
- Full Text :
- https://doi.org/10.1007/s13239-023-00665-3