4.5 Article

Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium

期刊

JOURNAL OF BIOMECHANICS
卷 101, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jbiomech.2020.109645

关键词

Computer models; Cardiac electromechanics; Ventricular systolic motion; Heart failure; Pericardium; Apico-basal shortening

资金

  1. UK Engineering and Physical Sciences Research Council [EP/M012492/1, NS/A000049/1, EP/L015226/1, EP/P01268X/1]
  2. British Heart Foundation [PG/15/91/31812, PG/13/37/30280]
  3. Austrian Science Fund (FWF) [P12760-B30]
  4. Marie SkiodowskaCurie fellowship by the European Union [750835]
  5. King's Health Partners London National Institute for Health Research (NIHR) Biomedical Research Centre
  6. Office of Science and Technology through Engineering and Physical Sciences Research Council's High End Computing Programme
  7. EPSRC [EP/P01268X/1, EP/M012492/1] Funding Source: UKRI
  8. MRC [MR/N011007/1] Funding Source: UKRI
  9. Marie Curie Actions (MSCA) [750835] Funding Source: Marie Curie Actions (MSCA)
  10. Austrian Science Fund (FWF) [I2760] Funding Source: Austrian Science Fund (FWF)

向作者/读者索取更多资源

The pericardium affects cardiac motion by limiting epicardial displacement normal to the surface. In computational studies, it is important for the model to replicate realistic motion, as this affects the physiological fidelity of the model. Previous computational studies showed that accounting for the effect of the pericardium allows for a more realistic motion simulation. In this study, we describe the mechanism through which the pericardium causes improved cardiac motion. We simulated electrical activation and contraction of the ventricles on a four-chamber heart in the presence and absence of the effect of the pericardium. We simulated the mechanical constraints imposed by the pericardium by applying normal Robin boundary conditions on the ventricular epicardium. We defined a regional scaling of normal springs stiffness based on image-derived motion from CT images. The presence of the pericardium reduced the error between simulated and image-derived end-systolic configurations from 12.8 +/- 4.1 mm to 5.7 +/- 2.5 mm. First, the pericardium prevents the ventricles from spherising during iso-volumic contraction, reducing the outward motion of the free walls normal to the surface and the upwards motion of the apex. Second, by restricting the inward motion of the free and apical walls of the ventricles the pericardium increases atrioventricular plane displacement by four folds during ejection. Our results provide a mechanistic explanation of the importance of the pericardium in physiological simulations of electromechanical cardiac function. (C) 2020 The Authors. Published by Elsevier Ltd.

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