IIIT Hyderabad Publications |
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A Hybrid Approach to Tissue-based Intensity Standardization of Brain MRI ImagesAuthors: Raghav Mehta,Jayanthi Sivaswamy Conference: IEEE 13th International Symposium on Biomedical Imaging (ISBI-2016 2016) Location Clarion Congress Hotel TBD Prague, Czech Republic Date: 2016-04-13 Report no: IIIT/TR/2016/70 AbstractThe variations in the intensity scale in Magnetic Resonance Images pose a problem for many tasks and Intensity Standardization (IS) aims to solve this problem. Existing methods generally use landmark values of the image histogram and match it to a standard scale. The landmarks are often chosen to be percentiles from different segmented tissues. We propose a method for IS in which tissue information (via segmentation) is needed during training but not during testing by using landmark propagation. A KL divergence-based technique is employed for identifying volumes from the training set, which are similar to a given non-standardized testing volume. The landmarks from the similar volumes are then propagated to the given test volume. Evaluation of the proposed method on 24 MRI volumes from 3 different scanners shows that the IS results are better than L4 and at par with a method which uses prior segmentation, to get percentile-based landmarks. The proposed method aids speeding up and expanding the scope of IS to volumes with no tissue information. Full paper: pdf Centre for Visual Information Technology |
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