An automatic service for the personalization of ventricular cardiac meshes

Lamata, Pablo; Sinclair, Matthew; Kerfoot, Eric; Lee, Angela; Crozier, Andrew; Blazevic, Bojan; Land, Sander; Lewandowski, Adam J.; Barber, D C; Niederer, Steven A.; Smith, Nic

doi:10.1098/rsif.2013.1023

Cited by 53 publications

(38 citation statements)

References 39 publications

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“…Each data set was segmented using the Philips heart atlas based segmentation tool [13]. We use the meshing tool developed by Lamata et al [32,33] to fit a cubic order finite element mesh to each segmented data set. Figure 7C shows the resulting finite element meshes.…”

Section: Multi-scale Modelmentioning

confidence: 99%

A model of cardiac contraction based on novel measurements of tension development in human cardiomyocytes

Land

Park-Holohan

Smith

et al. 2017

Journal of Molecular and Cellular Cardiology

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103

147

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Experimental data from human cardiac myocytes at body temperature is crucial for a quantitative understanding of clinically relevant cardiac function and development of whole-organ computational models. However, such experimental data is currently very limited. Specifically, important measurements to characterize changes in tension development in human cardiomyocytes that occur with perturbations in cell length are not available. To address this deficiency, in this study we present an experimental data set collected from skinned human cardiac myocytes, including the passive and viscoelastic properties of isolated myocytes, the steady-state force calcium relationship at different sarcomere lengths, and changes in tension following a rapid increase or decrease in length, and after constant velocity shortening. This data set is, to our knowledge, the first characterization of length and velocity-dependence of tension generation in human skinned cardiac myocytes at body temperature.We use this data to develop a computational model of contraction and passive viscoelasticity in human myocytes. Our model includes troponin C kinetics, tropomyosin kinetics, a three-state crossbridge model that accounts for the distortion of crossbridges, and the cellular viscoelastic response. Each component is parametrized using our experimental data collected in human cardiomyocytes at body temperature. Furthermore we are able to confirm that properties of length-dependent activation at 37• C are similar to other species, with a shift in calcium sensitivity and increase in maximum tension. We revise our model of tension generation in the skinned isolated myocyte to replicate reported tension traces generated in intact muscle during isometric tension, to provide a model of human tension generation for multi-scale simulations. This process requires changes to calcium sensitivity, cooperativity, and crossbridge transition rates. We apply this model within multi-scale simulations of biventricular cardiac function and further refine the parametrization within the whole organ context, based on obtaining a healthy ejection fraction. This process reveals that crossbridge cycling rates differ between skinned myocytes and intact myocytes.

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Section: Multi-scale Modelmentioning

confidence: 99%

A model of cardiac contraction based on novel measurements of tension development in human cardiomyocytes

Land

Park-Holohan

Smith

et al. 2017

Journal of Molecular and Cellular Cardiology

Self Cite

103

147

View full text Add to dashboard Cite

show abstract

“…The next step is volumetric meshing, where the LV wall is divided into polyhedrons as small representative solids. Different methods are being developed for cardiac geometry reconstruction including user iterative interventions for reconstruction7 or by warping idealised ventricular geometry, for example, an ellipsoid, into patient data 22…”

Section: Model Personalisationmentioning

confidence: 99%

Advances in computational modelling for personalised medicine after myocardial infarction

Mangion

Gao

Husmeier

et al. 2017

Heart

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Myocardial infarction (MI) is a leading cause of premature morbidity and mortality worldwide. Determining which patients will experience heart failure and sudden cardiac death after an acute MI is notoriously difficult for clinicians. The extent of heart damage after an acute MI is informed by cardiac imaging, typically using echocardiography or sometimes, cardiac magnetic resonance (CMR). These scans provide complex data sets that are only partially exploited by clinicians in daily practice, implying potential for improved risk assessment. Computational modelling of left ventricular (LV) function can bridge the gap towards personalised medicine using cardiac imaging in patients with post-MI. Several novel biomechanical parameters have theoretical prognostic value and may be useful to reflect the biomechanical effects of novel preventive therapy for adverse remodelling post-MI. These parameters include myocardial contractility (regional and global), stiffness and stress. Further, the parameters can be delineated spatially to correspond with infarct pathology and the remote zone. While these parameters hold promise, there are challenges for translating MI modelling into clinical practice, including model uncertainty, validation and verification, as well as time-efficient processing. More research is needed to (1) simplify imaging with CMR in patients with post-MI, while preserving diagnostic accuracy and patient tolerance (2) to assess and validate novel biomechanical parameters against established prognostic biomarkers, such as LV ejection fraction and infarct size. Accessible software packages with minimal user interaction are also needed. Translating benefits to patients will be achieved through a multidisciplinary approach including clinicians, mathematicians, statisticians and industry partners.

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“…In previous work we have used mesh generation tools to generate meshes with cubic order elements for the biventricular geometry [20,21]. Due to the more complex topology in the four chamber heart, creating a mesh based on cubic hexahedral elements is challenging, and our existing tools do not support this topology.…”

Section: Mesh Generationmentioning

confidence: 99%

Influence of atrial contraction dynamics on cardiac function

Land

Niederer

2017

Numer Methods Biomed Eng

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In recent years, there has been a move from mono-or biventricular models of the heart, to more complex models that incorporate the electromechanical function in all four chambers. However, the biophysical foundation is still under-developed, with most work in atrial cellular models having focused on electrophysiological properties. Here we present a biophysical model of human atrial contraction at body temperature, and use it to study the effects of atrial contraction on whole organ function, and a study of the effects of remodelling due to atrial fibrillation on atrial and ventricular function.

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An automatic service for the personalization of ventricular cardiac meshes

Cited by 53 publications

References 39 publications

A model of cardiac contraction based on novel measurements of tension development in human cardiomyocytes

A model of cardiac contraction based on novel measurements of tension development in human cardiomyocytes

Advances in computational modelling for personalised medicine after myocardial infarction

Influence of atrial contraction dynamics on cardiac function

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