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

@article{citeulike:4481981, abstract = {10.1098/rsta.2009.0056 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 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.}, author = {Plank, Gernot and Burton, Rebecca A. and Hales, Patrick and Bishop, Martin and Mansoori, Tahir and Bernabeu, Miguel O. and Garny, Alan and Prassl, Anton J. and Bollensdorff, Christian and Mason, Fleur and Mahmood, Fahd and Rodriguez, Blanca and Grau, Vicente and Schneider, J\"{u}rgen E. and Gavaghan, David and Kohl, Peter}, citeulike-article-id = {4481981}, citeulike-linkout-0 = {http://dx.doi.org/10.1098/rsta.2009.0056}, citeulike-linkout-1 = {http://rsta.royalsocietypublishing.org/content/367/1896/2257?rss=1.abstract}, citeulike-linkout-2 = {http://rsta.royalsocietypublishing.org/content/367/1896/2257?rss=1.full.pdf}, citeulike-linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/19414455}, citeulike-linkout-4 = {http://www.hubmed.org/display.cgi?uids=19414455}, day = {13}, doi = {10.1098/rsta.2009.0056}, journal = {Physical and Engineering Sciences}, keywords = {natreview0609}, month = {June}, number = {1896}, pages = {2257--2292}, posted-at = {2009-06-09 05:06:10}, priority = {2}, title = {Generation of histo-anatomically representative models of the individual heart: tools and application}, url = {http://dx.doi.org/10.1098/rsta.2009.0056}, volume = {367}, year = {2009} }

TY - JOUR ID - citeulike:4481981 L3 - citeulike-article-id:4481981 N2 - 10.1098/rsta.2009.0056 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 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. IS - 1896 JF - Physical and Engineering Sciences EP - 2292 TI - Generation of histo-anatomically representative models of the individual heart: tools and application VL - 367 SP - 2257 KW - natreview0609 AU - Plank, Gernot AU - Burton, Rebecca AU - Hales, Patrick AU - Bishop, Martin AU - Mansoori, Tahir AU - Bernabeu, Miguel AU - Garny, Alan AU - Prassl, Anton AU - Bollensdorff, Christian AU - Mason, Fleur AU - Mahmood, Fahd AU - Rodriguez, Blanca AU - Grau, Vicente AU - Schneider, Jürgen AU - Gavaghan, David AU - Kohl, Peter PY - 2009/06/13/ UR - http://dx.doi.org/10.1098/rsta.2009.0056 ER -