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SUMMARY:Building detailed cardiac electrophysiological models from high-re
 solution images - Grau\, V (Oxford)
DTSTART:20090722T094500Z
DTEND:20090722T100000Z
UID:TALK19148@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Computational models of the heart using simplified geometries 
 have been used successfully in a number of applications. At the same time\
 , the effect of microstructure has been shown to be relevant in studies of
  fundamental mechanisms of cardiac function. Our goal is to investigate th
 e effect of the level of detail of cardiac electrophysiological models whe
 n applied to the study of specific problems. We have developed a semi-auto
 mated pipeline to build highly-detailed model geometries from high resolut
 ion MRI and histological images. The methods include segmentation of MRI i
 mages\, co-registration of MRI volumes with histology slices\, delineation
  of important structures such as papillary muscles or valves\, mesh genera
 tion and electrophysiological simulation. Preferential orientation of myoc
 ytes is estimated and added to the model using either diffusion tensor MRI
  (DTMRI) or a parametric description. A quantitative comparison between th
 ese two techniques shows a general agreement between the estimated orienta
 tions\, with localised differences for which specific modifications of the
  mathematical rules can be postulated. We have also developed methods to b
 uild simplified models (lacking macro- and microstructural elements such a
 s papillary muscles\, endocardial trabeculations or coronary vessels) from
  the same images. We apply these methods to build detailed and simplified 
 models of rabbit and rat hearts. Simulations of electrical activation afte
 r stimulation at different anatomical locations highlight important local 
 differences between different levels of detail\, and allow us to investiga
 te separately the effects of relevant macro- and microstructure.
LOCATION:Seminar Room 1\, Newton Institute
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