Literature DB >> 26993615

Cardiac MRI based numerical modeling of left ventricular fluid dynamics with mitral valve incorporated.

Boyang Su1, Ru San Tan2, Ju Le Tan1, Kenneth Wei Qiang Guo1, Jun Mei Zhang2, Shuang Leng1, Xiaodan Zhao1, John Carson Allen3, Liang Zhong4.   

Abstract

Recent numerical studies were focused on the modeling of flow in patient-specific left ventricle (LV); however, the mitral valve (MV) was usually excluded. In this study, both patient-specific LV and MV were modeled to achieve a more realistic intraventricular flow. Cardiac MRI images were acquired from a pulmonary arterial hypertension (PAH) patient and a healthy volunteer, and manual segmentation was conducted to reconstruct three-dimensional (3D) LV and MV geometries at each frame. Based on these 3D geometries, vortex formation time (VFT) was derived, and the values were 4.0 and 6.5 for the normal subject and the PAH patient, respectively. Based on studies in the literature, VTF in the healthy subject fell within the normal range, while that in the PAH patient exceeded the threshold for normality. The vortex structures in the LV clearly showed that the vortex ring was initiated from the tips of the MV instead of the mitral annulus. The excessive VFT during the rapid filling phase in the PAH patient resulted in a trailing flow structure behind the primary vortex ring, which was not observed in the normal subject. It can be deduced from this study that incorporating the MV into a patient-specific model is necessary to produce more reasonable VFT and intraventricular flow.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bileaflet mitral valve; Computational fluid dynamics; Patient-specific; Vortex formation

Mesh:

Year:  2016        PMID: 26993615     DOI: 10.1016/j.jbiomech.2016.03.008

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  7 in total

1.  CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics.

Authors:  Leonid Goubergrits; Katharina Vellguth; Lukas Obermeier; Adriano Schlief; Lennart Tautz; Jan Bruening; Hans Lamecker; Angelika Szengel; Olena Nemchyna; Christoph Knosalla; Titus Kuehne; Natalia Solowjowa
Journal:  Front Cardiovasc Med       Date:  2022-07-05

2.  Towards a Computational Framework for Modeling the Impact of Aortic Coarctations Upon Left Ventricular Load.

Authors:  Elias Karabelas; Matthias A F Gsell; Christoph M Augustin; Laura Marx; Aurel Neic; Anton J Prassl; Leonid Goubergrits; Titus Kuehne; Gernot Plank
Journal:  Front Physiol       Date:  2018-05-28       Impact factor: 4.566

3.  Personalized intervention cardiology with transcatheter aortic valve replacement made possible with a non-invasive monitoring and diagnostic framework.

Authors:  Seyedvahid Khodaei; Alison Henstock; Reza Sadeghi; Stephanie Sellers; Philipp Blanke; Jonathon Leipsic; Ali Emadi; Zahra Keshavarz-Motamed
Journal:  Sci Rep       Date:  2021-05-25       Impact factor: 4.379

4.  Computational Assessment of Valvular Dysfunction in Discrete Subaortic Stenosis: A Parametric Study.

Authors:  Jason A Shar; Sundeep G Keswani; K Jane Grande-Allen; Philippe Sucosky
Journal:  Cardiovasc Eng Technol       Date:  2021-01-11       Impact factor: 2.305

Review 5.  Heart blood flow simulation: a perspective review.

Authors:  Siamak N Doost; Dhanjoo Ghista; Boyang Su; Liang Zhong; Yosry S Morsi
Journal:  Biomed Eng Online       Date:  2016-08-25       Impact factor: 2.819

Review 6.  Application of Patient-Specific Computational Fluid Dynamics in Coronary and Intra-Cardiac Flow Simulations: Challenges and Opportunities.

Authors:  Liang Zhong; Jun-Mei Zhang; Boyang Su; Ru San Tan; John C Allen; Ghassan S Kassab
Journal:  Front Physiol       Date:  2018-06-26       Impact factor: 4.566

7.  Image-Based Computational Hemodynamics Analysis of Systolic Obstruction in Hypertrophic Cardiomyopathy.

Authors:  Ivan Fumagalli; Piermario Vitullo; Christian Vergara; Marco Fedele; Antonio F Corno; Sonia Ippolito; Roberto Scrofani; Alfio Quarteroni
Journal:  Front Physiol       Date:  2022-01-06       Impact factor: 4.566

  7 in total

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