
By Martin W. Krueger, Gunnar Seemann, Kawal S. Rhode, Frank M. Weber, Nick Linton (auth.), Sébastien Ourselin, Daniel Rueckert, Nicolas Smith (eds.)
This booklet constitutes the refereed lawsuits of the seventh overseas convention on sensible Imaging and Modeling of the center, held in London, united kingdom, in June 2013. The fifty eight revised complete papers have been conscientiously reviewed and chosen from various preliminary submissions. the point of interest of the papers is on following subject matters: photograph pushed modeling, biophysical modeling, picture research, biophysical modeling, cardiac imaging, parameter estimation, modeling equipment, and biomedical engineering.
Read or Download Functional Imaging and Modeling of the Heart: 7th International Conference, FIMH 2013, London, UK, June 20-22, 2013. Proceedings PDF
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A Computational Bilayer Surface Model of Human Atria 33 Fig. 4. Left: posterior view of the activation map with 5 ms isolines. Dark blue: 0 ms. Red: 196 ms. The deformation of the front is clearly visible in the PM. Right: posterior view of the difference between activation map of the bilayer (epicardial layer, CT, PM, endocardial layer of LA) and monolayer (epicardial layer) surface models. Colors are ranging from -10 ms (dark blue) to +10ms (red). 2 ms isodifference lines are shown. Modeling assumptions were set prior to model construction.
6 b). Qualitative agreement between the two measurements can be observed though it is clear that the velocity amplitude is underestimated. 24 H. Gao et al. Fig. 4. 05 0 Time (Second) . Fig. 5. RMSE of the relative error (Top) and the absolute error (bottom) velocity fields during the whole cardiac cycle using the CFD ground truth 4 Discussion The originally proposed tracking algorithm combines speckle tracking and NavierStokes based regularization in an iterative way. It was first developed in [5] and its performance depended on the accuracy of the initial speckle tracking result.
6 a). As the aortic valve (AV) opens, the flow has been directed towards the AV for ejection (Fig. 6 b). Qualitative agreement between the two measurements can be observed though it is clear that the velocity amplitude is underestimated. 24 H. Gao et al. Fig. 4. 05 0 Time (Second) . Fig. 5. RMSE of the relative error (Top) and the absolute error (bottom) velocity fields during the whole cardiac cycle using the CFD ground truth 4 Discussion The originally proposed tracking algorithm combines speckle tracking and NavierStokes based regularization in an iterative way.