Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11866763_118 | MICCAI (2) |
Keywords | Field | DocType |
new similarity measure,multi-modal image registration,conventional mi-based method,gsee-mi-based method,multi-modal image registration task,interpolation artifact,generalized survival exponential entropy,mutual information,cumulative distribution function,density function,image registration | Data set,Exponential function,Similarity measure,Pattern recognition,Interpolation,Cumulative distribution function,Artificial intelligence,Mutual information,Probability density function,Mathematics,Image registration | Conference |
Volume | Issue | ISSN |
9 | Pt 2 | 0302-9743 |
ISBN | Citations | PageRank |
3-540-44727-X | 6 | 0.50 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shu Liao | 1 | 128 | 7.88 |
| Albert C. S. Chung | 2 | 964 | 72.07 |