Mixed impact of torsion on LV hemodynamics : a CFD study based on the Chimera technique
- Author
- Federico Canè, Matteo Selmi, Gianluca De Santis, Alberto Redaelli, Patrick Segers (UGent) and Joris Degroote (UGent)
- Organization
- Abstract
- Image-based patient-specific Computational Fluid Dynamics (CFD) models of the Left Ventricle (LV) can be used to quantify hemodynamics-based biomarkers that can support the clinicians in the early diagnosis, follow-up and treatment planning of patients, beyond the capabilities of the current imaging modalities. We propose a workflow to build patient-specific CFD models of the LV with moving boundaries based on the Chimera technique to overcome the convergence issues previously encountered by means of the Arbitrarian Lagrangian Eulerian approach. The workflow was tested while investigating whether the torsional motion has an impact on LV fluid dynamics. Starting from 3D cine MRI scans of a healthy volunteer, six cardiac cycles were simulated in three CFD LV models: with no, physiological, and exaggerated torsion. The Chimera technique was robust in handling the impulsive motion of the LV endocardium, allowing to notice cycle-to-cycle variations in every simulated case. Torsion affected slightly velocity, vorticity, WSS. It did not affect energy loss and induced a double-sided effect in terms of residence time: the particles ejected in one beat decreased, whereas the motility of the particles remaining in the LV was affected only in the exaggerated torsion case, indicating that implementation of torsion can be discarded in case of physiological levels. Nonetheless, caution is warranted when interpreting these results given the absence of the mitral valve, the papillary muscles, and the trabeculae. The effects of the mitral valve will be evaluated within an Fluid Structure Interaction simulation framework as further development of the current model.
- Keywords
- Health Informatics, Computer Science Applications, Left ventricular torsion, Chimera technique, Overset mesh, Residence time, Particle tracking, CFD, Patient-specific, FLUID-DYNAMICS, LEFT-VENTRICLE, HEART
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8638963
- MLA
- Canè, Federico, et al. “Mixed Impact of Torsion on LV Hemodynamics : A CFD Study Based on the Chimera Technique.” COMPUTERS IN BIOLOGY AND MEDICINE, vol. 112, 2019, doi:10.1016/j.compbiomed.2019.103363.
- APA
- Canè, F., Selmi, M., De Santis, G., Redaelli, A., Segers, P., & Degroote, J. (2019). Mixed impact of torsion on LV hemodynamics : a CFD study based on the Chimera technique. COMPUTERS IN BIOLOGY AND MEDICINE, 112. https://doi.org/10.1016/j.compbiomed.2019.103363
- Chicago author-date
- Canè, Federico, Matteo Selmi, Gianluca De Santis, Alberto Redaelli, Patrick Segers, and Joris Degroote. 2019. “Mixed Impact of Torsion on LV Hemodynamics : A CFD Study Based on the Chimera Technique.” COMPUTERS IN BIOLOGY AND MEDICINE 112. https://doi.org/10.1016/j.compbiomed.2019.103363.
- Chicago author-date (all authors)
- Canè, Federico, Matteo Selmi, Gianluca De Santis, Alberto Redaelli, Patrick Segers, and Joris Degroote. 2019. “Mixed Impact of Torsion on LV Hemodynamics : A CFD Study Based on the Chimera Technique.” COMPUTERS IN BIOLOGY AND MEDICINE 112. doi:10.1016/j.compbiomed.2019.103363.
- Vancouver
- 1.Canè F, Selmi M, De Santis G, Redaelli A, Segers P, Degroote J. Mixed impact of torsion on LV hemodynamics : a CFD study based on the Chimera technique. COMPUTERS IN BIOLOGY AND MEDICINE. 2019;112.
- IEEE
- [1]F. Canè, M. Selmi, G. De Santis, A. Redaelli, P. Segers, and J. Degroote, “Mixed impact of torsion on LV hemodynamics : a CFD study based on the Chimera technique,” COMPUTERS IN BIOLOGY AND MEDICINE, vol. 112, 2019.
@article{8638963, abstract = {{Image-based patient-specific Computational Fluid Dynamics (CFD) models of the Left Ventricle (LV) can be used to quantify hemodynamics-based biomarkers that can support the clinicians in the early diagnosis, follow-up and treatment planning of patients, beyond the capabilities of the current imaging modalities. We propose a workflow to build patient-specific CFD models of the LV with moving boundaries based on the Chimera technique to overcome the convergence issues previously encountered by means of the Arbitrarian Lagrangian Eulerian approach. The workflow was tested while investigating whether the torsional motion has an impact on LV fluid dynamics. Starting from 3D cine MRI scans of a healthy volunteer, six cardiac cycles were simulated in three CFD LV models: with no, physiological, and exaggerated torsion. The Chimera technique was robust in handling the impulsive motion of the LV endocardium, allowing to notice cycle-to-cycle variations in every simulated case. Torsion affected slightly velocity, vorticity, WSS. It did not affect energy loss and induced a double-sided effect in terms of residence time: the particles ejected in one beat decreased, whereas the motility of the particles remaining in the LV was affected only in the exaggerated torsion case, indicating that implementation of torsion can be discarded in case of physiological levels. Nonetheless, caution is warranted when interpreting these results given the absence of the mitral valve, the papillary muscles, and the trabeculae. The effects of the mitral valve will be evaluated within an Fluid Structure Interaction simulation framework as further development of the current model.}}, articleno = {{103363}}, author = {{Canè, Federico and Selmi, Matteo and De Santis, Gianluca and Redaelli, Alberto and Segers, Patrick and Degroote, Joris}}, issn = {{0010-4825}}, journal = {{COMPUTERS IN BIOLOGY AND MEDICINE}}, keywords = {{Health Informatics,Computer Science Applications,Left ventricular torsion,Chimera technique,Overset mesh,Residence time,Particle tracking,CFD,Patient-specific,FLUID-DYNAMICS,LEFT-VENTRICLE,HEART}}, language = {{eng}}, pages = {{12}}, title = {{Mixed impact of torsion on LV hemodynamics : a CFD study based on the Chimera technique}}, url = {{http://doi.org/10.1016/j.compbiomed.2019.103363}}, volume = {{112}}, year = {{2019}}, }
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