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- W2116730809 abstract "In this paper we propose the use of a neurobiology-based saliency measure to improve the performance of a quantitative- qualitative measure of mutual information for rigid registration of 4D renal perfusion MR images. Our registration method assigns greater importance to more salient voxels by applying a soft thresholding function to normalized saliency values. The resulting saliency map is a better representation of what is truly visually salient than an entropy-based saliency map. Our tests on real patient datasets show that incorporating this saliency measure produces better registration results than traditional entropy-based approaches." @default.
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- W2116730809 date "2008-05-01" @default.
- W2116730809 modified "2023-10-01" @default.
- W2116730809 title "Registration of dynamic renal MR images using neurobiological model of saliency" @default.
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- W2116730809 doi "https://doi.org/10.1109/isbi.2008.4541197" @default.
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