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DOI 10.1016/j.compbiomed.2023.106742

Медицинская библиотека · Computers in biology and medicine · 2023

Cardiac hypertrophy simulations using parametric and echocardiography-based left ventricle model with shell finite elements.

Milićević Bogdan, Milošević Miljan, Simić Vladimir, Trifunović Danijela, Stanković Goran, Filipović Nenad, Kojić Miloš

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

In our paper, we simulated cardiac hypertrophy with the use of shell elements in parametric and echocardiography-based left ventricle (LV) models. The hypertrophy has an impact on the change in the wall thickness, displacement field and the overall functioning of the heart. We computed both eccentric and concentric hypertrophy effects and tracked changes in the ventricle shape and wall thickness. Thickening of the wall was developed under the influence of concentric hypertrophy, while the eccentric hypertrophy produces wall thinning. To model passive stresses we used the recently developed material modal based on the Holzapfel experiments. Also, our specific shell composite finite element models for heart mechanics are much smaller and simpler to use with respect to conventional 3D models. Furthermore, the presented modeling approach of the echocardiography-based LV can serve as the basis for practical applications since it relies on the true patient-specific geometry and experimental constitutive relationships. Our model gives an insight into hypertrophy development in realistic heart geometries, and it has the potential to test medical hypotheses regarding hypertrophy evolution in a healthy and heart with a disease, under the influence of different conditions and parameters.

Для цитирования: Milićević Bogdan, Milošević Miljan, Simić Vladimir, Trifunović Danijela, Stanković Goran, Filipović Nenad, Kojić Miloš. Cardiac hypertrophy simulations using parametric and echocardiography-based left ventricle model with shell finite elements.. Computers in biology and medicine. 2023. DOI: 10.1016/j.compbiomed.2023.106742.

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