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Multi-modal Image Registration Using the Generalized Survival Exponential Entropy
| Content Provider | Semantic Scholar |
|---|---|
| Author | Liao, Shu Chung, Albert Chi-shing |
| Copyright Year | 2006 |
| Abstract | This paper introduces a new similarity measure for multimodal image registration task. The measure is based on the generalized survival exponential entropy (GSEE) and mutual information (GSEE-MI). Since GSEE is estimated from the cumulative distribution function instead of the density function, it is observed that the interpolation artifact is reduced. The method has been tested on four real MR-CT data sets. The experimental results show that the GSEE-MI-based method is more robust than the conventional MI-based method. The accuracy is comparable for both methods. |
| Starting Page | 382 |
| Ending Page | 384 |
| Page Count | 3 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://doi.org/10.1007/11866763_118 |
| Alternate Webpage(s) | http://www.cs.ust.hk/~achung/miccai06_liao_chung.pdf |
| Alternate Webpage(s) | http://www.cse.ust.hk/~achung/miccai06_liao_chung.pdf |
| Alternate Webpage(s) | https://www.cse.ust.hk/~achung/miccai06_liao_chung.pdf |
| PubMed reference number | 17354866v1 |
| DOI | 10.1007/11866763_118 |
| Journal | MICCAI |
| Volume Number | 9 |
| Part | 2 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Epilepsy, Generalized Image registration Interpolation Imputation Technique Modal logic Morphologic artifacts Multimodal interaction Muscle Rigidity Mutual information Myocardial Infarction Numerous Reduction (complexity) Similarity measure exponential registration - ActClass |
| Content Type | Text |
| Resource Type | Article |
