Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISBI.2008.4541197
Title: Registration of dynamic renal MR images using neurobiological model of saliency
Authors: Mahapatra, D.
Sun, Y. 
Keywords: Mutual information
Neurobiological model
Renal MR
Rigid registration
Saliency
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
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