Fluid Registration of Diffusion Tensor Images Using Information Theory

IEEE Transactions on Medical Imaging(2008)

引用 131|浏览19
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摘要
We apply an information-theoretic cost metric, the symmetrized Kullback-Leibler (sKL) divergence, or J-divergence, to fluid registration of diffusion tensor images. The difference between diffusion tensors is quantified based on the sKL-divergence of their associated probability density functions (PDFs). Three-dimensional DTI data from 34 subjects were fluidly registered to an optimized target ima...
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关键词
Tensile stress,Information theory,Costs,Probability density function,Diffusion tensor imaging,Topology,Kinematics,Surfaces,Image resolution,High-resolution imaging
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