TY - JOUR
T1 - Generation of histo-anatomically representative models of the individual heart: Tools and application
AU - Plank, Gernot
AU - Burton, Rebecca A B
AU - Hales, Patrick
AU - Bishop, Martin
AU - Mansoori, Tahir
AU - Bernabeu, Miguel O.
AU - Garny, Alan
AU - Prassl, Anton J.
AU - Bollensdorff, Christian
AU - Mason, Fleur
AU - Mahmood, Fahd
AU - Rodriguez, Blanca
AU - Grau, Vicente
AU - Schneider, Jürgen E.
AU - Gavaghan, David
AU - Kohl, Peter
PY - 2009/6/13
Y1 - 2009/6/13
N2 - 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. © 2009 The Royal Society.
AB - 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. © 2009 The Royal Society.
KW - Bidomain
KW - Cardiac electrical activity
KW - In silico heart model
KW - Individualized medicine
KW - Multiscale modelling
KW - Parallel computing
U2 - 10.1098/rsta.2009.0056
DO - 10.1098/rsta.2009.0056
M3 - Article
SN - 1471-2946
SN - 1471-2962
VL - 367
SP - 2257
EP - 2292
JO - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
JF - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
IS - 1896
ER -