Abstract
Voxel-based non-rigid registration algorithms have been successfully applied to a wide range of image types. However, in some cases the registration of quite different images, e.g. pre-and post-resection images, can fail because of a lack of voxel intensity correspondences. One solution is to introduce feature information into the voxel-based registration algorithms in order to incorporate higher level information about the expected deformation. We illustrate using one voxelbased registration algorithm that the incorporation of features yields considerable improvement of the registration results in such cases.
Original language | English (US) |
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Title of host publication | Medical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings |
Editors | Takeyoshi Dohi, Ron Kikinis |
Publisher | Springer Verlag |
Pages | 565-572 |
Number of pages | 8 |
ISBN (Print) | 3540442251 |
DOIs | |
State | Published - 2002 |
Event | 5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 - Tokyo, Japan Duration: Sep 25 2002 → Sep 28 2002 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 2489 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 |
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Country/Territory | Japan |
City | Tokyo |
Period | 9/25/02 → 9/28/02 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2002.