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Fast 2D vector field visualization using a 2D texture synthesis based on an autoregressive filter : Application to cardiac imaging

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This paper presents a new technique for vectoe field visualization and its application to the motion estimation of the heart. Our approach is based on the principle of filtering a texture over the data to visualize. For this purpose, we have first developed a texture model that allows 2D synthesis of furlike texture. The technique is based on a non stationary two dimensional Autoregressive synthesis (2D AR). The texture generator allows a local control of orientation and length of the synthesized texture (the orientation and length of filaments). We have experimented the use of this texture model to represent 2D vector field. We use orientation, lenght and color attributes of our furlike texture to visualize local orientation and magnitude of a 2D vector field. The visual representations produced seem satisfying since complete information about local orientation is easily perceived. In addition, due to the AR formulation, the obtained technique is computationally efficient. In particular, the application of this twchnique to the visualization of the myocardial motion has proven very useful.
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bwmeta1.element.baztech-article-BWA1-0001-0330
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