A Kernel-based graphical model for diffusion tensor registration

In this paper, we propose a novel method for the spatial normalization of diffusion tensor images. The proposed method takes advantage of both the diffusion information and the spatial location of tensor in order to define an appropriate metric in a probabilistic framework. A registration energy is...

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Bibliographische Detailangaben
Hauptverfasser:	Sotiras, A, Neji, R, Deux, J.-F, Komodakis, N, Fleury, G, Paragios, N
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer Science Diffusion tensor imaging discrete optimization Engineering Sciences Graphical models Hilbert space Humans Image coding Information geometry Kernel kernels markov random fields Medical Imaging Muscles Signal and Image processing spatial normalization Tensile stress
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