z-logo
open-access-imgOpen Access
Generation of histo-anatomically representative models of the individual heart: tools and application
Author(s) -
Gernot Plank,
Rebecca A.B. Burton,
Patrick W. Hales,
Martin J. Bishop,
Tahir Mansoori,
Miguel O. Bernabéu,
Alan Garny,
Anton J. Prassl,
Christian Bollensdorff,
Fleur E. Mason,
Fahd Mahmood,
Blanca Rodríguez,
Vicente Grau,
Jürgen E. Schneider,
David J. Gavaghan,
Peter Köhl
Publication year - 2009
Publication title -
philosophical transactions of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2009.0056
Subject(s) - computer science , diffusion mri , pipeline (software) , image processing , artificial intelligence , data mining , image (mathematics) , computer vision , magnetic resonance imaging , medicine , radiology , programming language
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 individualizedin 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 high-resolution structure–function models in elucidating the effect of individual structural heterogeneity upon wavefront dynamics is demonstrated.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom