High Performance Computer Simulations of Cardiac Electrical Function Based on High Resolution MRI Datasets

Plotkowiak, Michal; Rodríguez, Blanca; Plank, Gernot; Schneider, Jürgen; Gavaghan, David; Kohl, Peter; Grau, Vicente

doi:10.1007/978-3-540-69384-0_62

Cited by 11 publications

(12 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The detail contained in the final segmented image is significantly higher than in previous studies (Plotkowiak et al 2008), where the use of a dataset downsampled by an additional factor of 2 in each direction was combined with only one level-set segmentation filter (a fast marching method filter), which reduced identification of detail (e.g. identifying only the largest blood vessels within the myocardial wall).…”

Section: (A ) Image Acquisitionmentioning

confidence: 81%

Generation of histo-anatomically representative models of the individual heart: tools and application

Plank

Burton

Hales

et al. 2009

Phil. Trans. R. Soc. A.

Self Cite

147

180

View full text Add to dashboard Cite

This paper presents methods to build histo-anatomically detailed individualized cardiac models. The models are based on high-resolution three-dimensional anatomical and/or diffusion tensor magnetic resonance images, combined with serial histological sectioning data, and are used to investigate individualized cardiac function. The current state of the art is reviewed, and its limitations are discussed. We assess the challenges associated with the generation of histo-anatomically representative individualized in silico models of the heart. The entire processing pipeline including image acquisition, image processing, mesh generation, model set-up and execution of computer simulations, and the underlying methods are described. The multifaceted challenges associated with these goals are highlighted, suitable solutions are proposed, and an important application of developed highresolution structure-function models in elucidating the effect of individual structural heterogeneity upon wavefront dynamics is demonstrated.

show abstract

Section: (A ) Image Acquisitionmentioning

confidence: 81%

Generation of histo-anatomically representative models of the individual heart: tools and application

Plank

Burton

Hales

et al. 2009

Phil. Trans. R. Soc. A.

Self Cite

147

180

View full text Add to dashboard Cite

show abstract

“…Although these models are compact and thus enable efficient solution of numerical problems, they provide only a coarse representation of the overall cardiac structure, and are lacking in fine detail such as endocardial trabeculations and papillary muscles, which play an important role in cardiac electrophysiology and mechanics. The feasibility of building whole-heart models with such fine details has been demonstrated recently by some studies 3,26. Plotkowiak et al26 reconstructed models from high resolution structural MR images of rabbit hearts.…”

Section: Review Of Models Of Cardiac Structurementioning

confidence: 99%

“…The feasibility of building whole-heart models with such fine details has been demonstrated recently by some studies. 3,26 Plotkowiak et al 26 reconstructed models from high resolution structural MR images of rabbit hearts. Although these models contain detailed geometric features, fiber orientations were not incorporated, and the ventricles were not separated from the rest of the tissue.…”

Section: Review Of Models Of Cardiac Structurementioning

confidence: 99%

Image‐based models of cardiac structure in health and disease

Vadakkumpadan

Arevalo

Prassl

et al. 2010

WIREs Mechanisms of Disease

Self Cite

115

122

View full text Add to dashboard Cite

Computational approaches to investigating the electromechanics of healthy and diseased hearts are becoming essential for the comprehensive understanding of cardiac function. In this article, we first present a brief review of existing image-based computational models of cardiac structure. We then provide a detailed explanation of a processing pipeline which we have recently developed for constructing realistic computational models of the heart from high resolution structural and diffusion tensor (DT) magnetic resonance (MR) images acquired ex vivo. The presentation of the pipeline incorporates a review of the methodologies that can be used to reconstruct models of cardiac structure. In this pipeline, the structural image is segmented to reconstruct the ventricles, normal myocardium, and infarct. A finite element mesh is generated from the segmented structural image, and fiber orientations are assigned to the elements based on DTMR data. The methods were applied to construct seven different models of healthy and diseased hearts. These models contain millions of elements, with spatial resolutions in the order of hundreds of microns, providing unprecedented detail in the representation of cardiac structure for simulation studies.

show abstract

“…Anatomical models of the upper or lower chambers of the heart (whole-atria or whole-ventricle models) are obtained from imaging modalities such as MRI and histology using segmentation techniques to obtain a binary image that denes the boundaries of the cardiac tissue ( Figure 10.3). 1,20,21,31,33,61,62 The processed image is then used to generate a volumetric mesh by applying a discretisation process in space, which depends on the numerical method used to solve the propagation model equations, which oen is the nite element method. Thus the underlying tissue model is a discrete one composed of cells (the cardiac tissue), which is turned into a continuous model (the bidomain model), and nally turned back into a discrete anatomico-mathematical model to conduct the computer simulations.…”

Section: Whole Organ Heart Modelsmentioning

confidence: 99%

In Silico Organ Modelling in Predicting Efficacy and Safety of New Medicines

Rodríguez¹

2014

Human-Based Systems for Translational Research

Self Cite

View full text Add to dashboard Cite

Over the last 50 years, a number of areas of physiology have experienced great progress in the development and integration of in silico models and simulation tools of different organs. Multiscale human organ computational models are available, for different organs including heart, 1,2 lungs 3-6 and cancer, 7,8 with ne-grained biophysical detail and a great level of integration from the genetic to the whole body level. Multiscale modelling and simulation have been crucial in improving our understanding of mechanisms of physiological and pathological phenomena, therapy and diagnosis. The advanced in silico technology is currently opening up promising and powerful avenues for the investigation and improvement of the efficiency of therapies and for the development of new medicines.Perhaps the most advanced area of computational physiology is computational cardiology, concerned with the investigation of the physiology and pathology of the heart using computational modelling and simulating.

show abstract

High Performance Computer Simulations of Cardiac Electrical Function Based on High Resolution MRI Datasets

Cited by 11 publications

References 12 publications

Generation of histo-anatomically representative models of the individual heart: tools and application

Generation of histo-anatomically representative models of the individual heart: tools and application

Image‐based models of cardiac structure in health and disease

In Silico Organ Modelling in Predicting Efficacy and Safety of New Medicines

Contact Info

Product

Resources

About