Flow dynamics and energy efficiency of flow in the left ventricle during myocardial infarction
| Autor: | Choon Hwai Yap, A. Mark Richards, Dominique P.V. de Kleijn, Adriel Jia Jun Low, Kian Keong Poh, Muhammad Mazlan, Teresa Totman, Chih-Liang Chin, Grace Croft, Vivek Vasudevan, Smita Sampath, Sarayu Parimal Annamalai |
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| Rok vydání: | 2016 |
| Předmět: |
medicine.medical_specialty
Heart Ventricles 0206 medical engineering Sus scrofa Myocardial Infarction Infarction 02 engineering and technology 030204 cardiovascular system & hematology 03 medical and health sciences symbols.namesake 0302 clinical medicine Womersley number Internal medicine Heart rate Image Processing Computer-Assisted Medicine Animals Computer Simulation Myocardial infarction medicine.diagnostic_test business.industry Mechanical Engineering Magnetic resonance imaging Stroke Volume Stroke volume medicine.disease 020601 biomedical engineering Magnetic Resonance Imaging medicine.anatomical_structure Ventricle Modeling and Simulation Cardiology symbols Hydrodynamics Strouhal number business Energy Metabolism Biotechnology |
| Zdroj: | Biomechanics and modeling in mechanobiology. 16(5) |
| ISSN: | 1617-7940 |
| Popis: | Cardiovascular disease is a leading cause of death worldwide, where myocardial infarction (MI) is a major category. After infarction, the heart has difficulty providing sufficient energy for circulation, and thus, understanding the heart's energy efficiency is important. We induced MI in a porcine animal model via circumflex ligation and acquired multiple-slice cine magnetic resonance (MR) images in a longitudinal manner-before infarction, and 1 week (acute) and 4 weeks (chronic) after infarction. Computational fluid dynamic simulations were performed based on MR images to obtain detailed fluid dynamics and energy dynamics of the left ventricles. Results showed that energy efficiency flow through the heart decreased at the acute time point. Since the heart was observed to experience changes in heart rate, stroke volume and chamber size over the two post-infarction time points, simulations were performed to test the effect of each of the three parameters. Increasing heart rate and stroke volume were found to significantly decrease flow energy efficiency, but the effect of chamber size was inconsistent. Strong complex interplay was observed between the three parameters, necessitating the use of non-dimensional parameterization to characterize flow energy efficiency. The ratio of Reynolds to Strouhal number, which is a form of Womersley number, was found to be the most effective non-dimensional parameter to represent energy efficiency of flow in the heart. We believe that this non-dimensional number can be computed for clinical cases via ultrasound and hypothesize that it can serve as a biomarker for clinical evaluations. |
| Databáze: | OpenAIRE |
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