Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/15886| Title: | Brain Image Registration Techniques using Wang Landau Adaptive Monte Carlo Approach |
| Authors: | Sasikala, D Neelaveni, R |
| Keywords: | Wang Landau Adaptive Monte Carlo Approach (WLAMC);Medical image registration;Adaptive Monte Carlo Approach (AMC);Mutual Information (MI);Correlation Coefficient;Computed Time of Registration (CTR) |
| Issue Date: | Feb-2013 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | This paper discusses the application of Wang Landau Adaptive Monte Carlo Approach algorithm for registration of monomodal brain images. CT or / and MRI brain images are considered for the study. Wang Landau Adaptive Monte Carlo is compared with Adaptive Monte Carlo method. In medical image registration of brain images, Wang Landau Adaptive Monte Carlo is more reliable than Adaptive Monte Carlo for scaling in single transformation, translation and scaling in any two combined transformation and translation, rotation and scaling in all the three combined transformations. Hence for registration of brain images using all the three combined transformations - translation, rotation and scaling, Wang Landau Adaptive Monte Carlo can be used. |
| Page(s): | 114-121 |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Appears in Collections: | JSIR Vol.72(02) [February 2013] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 72(2) 114-121.pdf | 137.42 kB | Adobe PDF | View/Open |
Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.