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|Title:||Registration of dynamic renal MR images using neurobiological model of saliency||Authors:||Mahapatra, D.
|Issue Date:||2008||Citation:||Mahapatra, D., Sun, Y. (2008). Registration of dynamic renal MR images using neurobiological model of saliency. 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI : 1119-1122. ScholarBank@NUS Repository. https://doi.org/10.1109/ISBI.2008.4541197||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. ©2008 IEEE.||Source Title:||2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI||URI:||http://scholarbank.nus.edu.sg/handle/10635/71596||ISBN:||9781424420032||DOI:||10.1109/ISBI.2008.4541197|
|Appears in Collections:||Staff Publications|
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