Retrospective image registration with genetic algorithms
A description of image registration is provided. Several most popular brain im-age registration techniques are explored and their characteristics are examined. The drawbacks of most existing registration techniques invoke the need for new image registration techniques. Detailed research on the dista...
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| Other Authors: | |
| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/2666 |
| _version_ | 1826123651701800960 |
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| author | Bao, Guojun |
| author2 | Rajapakse, Jagath Chandana |
| author_facet | Rajapakse, Jagath Chandana Bao, Guojun |
| author_sort | Bao, Guojun |
| collection | NTU |
| description | A description of image registration is provided. Several most popular brain im-age registration techniques are explored and their characteristics are examined. The drawbacks of most existing registration techniques invoke the need for new image registration techniques. Detailed research on the distance functions and optimization algorithms is carried out. Based on the research, two distance func-tions, namely the Euclidean distance and the chamfer distance and the genetic algorithm based optimization technique are adopted. Two novel intramodality image registration techniques based on voxel intensity and object boundary and one novel intermodality image registration technique based on object boundary are developed by using the selected distance functions and genetic algorithms. Their applications to brain image registration of functional MR images and struc-tural- MR images are studied. The comparison of the two intramodality image registration techniques is provided as well as the comparison between the adopted optimization technique and some other optimization techniques. |
| first_indexed | 2024-10-01T06:07:50Z |
| format | Thesis |
| id | ntu-10356/2666 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T06:07:50Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/26662023-03-04T00:32:38Z Retrospective image registration with genetic algorithms Bao, Guojun Rajapakse, Jagath Chandana School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision A description of image registration is provided. Several most popular brain im-age registration techniques are explored and their characteristics are examined. The drawbacks of most existing registration techniques invoke the need for new image registration techniques. Detailed research on the distance functions and optimization algorithms is carried out. Based on the research, two distance func-tions, namely the Euclidean distance and the chamfer distance and the genetic algorithm based optimization technique are adopted. Two novel intramodality image registration techniques based on voxel intensity and object boundary and one novel intermodality image registration technique based on object boundary are developed by using the selected distance functions and genetic algorithms. Their applications to brain image registration of functional MR images and struc-tural- MR images are studied. The comparison of the two intramodality image registration techniques is provided as well as the comparison between the adopted optimization technique and some other optimization techniques. Master of Philosophy 2008-09-17T09:07:25Z 2008-09-17T09:07:25Z 2000 2000 Thesis http://hdl.handle.net/10356/2666 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Bao, Guojun Retrospective image registration with genetic algorithms |
| title | Retrospective image registration with genetic algorithms |
| title_full | Retrospective image registration with genetic algorithms |
| title_fullStr | Retrospective image registration with genetic algorithms |
| title_full_unstemmed | Retrospective image registration with genetic algorithms |
| title_short | Retrospective image registration with genetic algorithms |
| title_sort | retrospective image registration with genetic algorithms |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | http://hdl.handle.net/10356/2666 |
| work_keys_str_mv | AT baoguojun retrospectiveimageregistrationwithgeneticalgorithms |