Advances in Computational Vision and Medical Image by João Manuel R.S. Tavares, R.M. Natal Jorge

By João Manuel R.S. Tavares, R.M. Natal Jorge

The current e-book includes prolonged types of papers awarded within the overseas convention VIPIMAGE 2007 – ECCOMAS Thematic convention on Computational imaginative and prescient and scientific photograph, held in Faculdade de Engenharia da Universidade do Porto, in 17-19 of October 2007. This convention used to be the 1st ECCOMAS thematic convention on computational imaginative and prescient and clinical picture processing. It covers subject matters similar with photo processing and research, clinical imaging and computational modeling and simulation, contemplating their multidisciplinary. This ebook collects the state of the art study, equipment and new principles with regards to computational imaginative and prescient and scientific picture processing contributing for the improvement of those components of data.

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Extra resources for Advances in Computational Vision and Medical Image Processing: Methods and Applications (Computational Methods in Applied Sciences)

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Unfortunately images do not reveal the “full functional story” and a spatially realistic computer model is often necessary for a comprehensive understanding of the complicated structural and physiological properties of the biological system’s entities under investigation [1]. Deeper insights into structure-to-function relationships of different entities is achieved via finite element simulations of the modeled biomedical process. A 3D (three dimensional) finite element meshed computer model of the biological system is therefore a first step to perform such simulations.

Charlie Walvaert of the Austin Heart Hospital, USA for providing us with the CT64 thoracic scan. Thanks are also due to Joe Rivera of CVC for his immense help with data processing. We would like to additionally thank Dr. Tom Hughes, Dr. Yuri Bazilevs for helpful discussions, and Dr. Sangmin Park and Dr. Yongjie Zhang for their help with image processing and mesh generation parts of this paper. References 1. : Mapping, modeling, and visual exploration of structure-function relationships in the heart.

Ionic Channels of Excitable Membranes, 2nd edn. Sinauer Associates, Sunderland, MA (1992) 6. : Electrophysiological modeling of cardiac ventricular function: from cell to organ. Annual Reviews in Biomedical Engineering 2(2000) 119–155 7. : A finite element model of passive mechanics and electrical propagation in the rabbit ventricles. Computers in Cardiology (1998) 705–708 8. : A collocation-galerkin finite element model of cardiac action potential propagation. IEEE Transactions on Biomedical Engineering 41(1994) 743–757 9.

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