Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-92841-6_157
Title: Using Saliency Features for Graphcut Segmentation of Perfusion Kidney Images
Authors: Mahapatra, D.
Sun, Y. 
Keywords: graph cuts
perfusion MRI
saliency
temporal information
Issue Date: 2009
Source: Mahapatra, D.,Sun, Y. (2009). Using Saliency Features for Graphcut Segmentation of Perfusion Kidney Images. IFMBE Proceedings 23 : 639-642. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-92841-6_157
Abstract: In this paper we propose a method that uses visual saliency information to segment dynamic kidney perfusion data. Segmenting dynamic data requires the use of temporal information available due to the flow of contrast agent. It is found that although the intensity of the kidney changes due to flow of contrast agent, its saliency profile remains nearly constant. We exploit this characteristic to account for regional information, which we use in a graph cut formulation for segmentation. Our tests on real patient datasets show that our algorithm compares well with other approaches for segmenting dynamic data.
Source Title: IFMBE Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/84344
ISBN: 9783540928409
ISSN: 16800737
DOI: 10.1007/978-3-540-92841-6_157
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