Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration
Image registration is a crucial step in many medical image analysis procedures such as image fusion, surgical planning, segmentation and labeling, and shape comparison in population or longitudinal studies. A new approach to volumetric intersubject deformable image registration is presented. The met...
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| Format: | Article |
| Language: | English |
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Wiley
2009-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2009/281615 |
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| _version_ | 1832564626509791232 |
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| author | Lotta M. Ellingsen Jerry L. Prince |
| author_facet | Lotta M. Ellingsen Jerry L. Prince |
| author_sort | Lotta M. Ellingsen |
| collection | DOAJ |
| description | Image registration is a crucial step in many medical image analysis procedures such as image fusion, surgical planning, segmentation and labeling, and shape comparison in population or longitudinal studies. A new approach to volumetric intersubject deformable image registration is presented. The method, called Mjolnir, is an extension of the highly successful method HAMMER. New image features in order to better localize points of correspondence between the two images are introduced as well as a novel approach to generate a dense displacement field based upon the weighted diffusion of automatically derived feature correspondences. An extensive validation of the algorithm was performed on T1-weighted SPGR MR brain images from the NIREP evaluation database. The results were compared with results
generated by HAMMER and are shown to yield significant improvements in cortical alignment as well as
reduced computation time. |
| format | Article |
| id | doaj-art-ab30dd6bd8d546fa9e3ff2d76fb919ee |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-ab30dd6bd8d546fa9e3ff2d76fb919ee2025-02-03T01:10:39ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962009-01-01200910.1155/2009/281615281615Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image RegistrationLotta M. Ellingsen0Jerry L. Prince1Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USADepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USAImage registration is a crucial step in many medical image analysis procedures such as image fusion, surgical planning, segmentation and labeling, and shape comparison in population or longitudinal studies. A new approach to volumetric intersubject deformable image registration is presented. The method, called Mjolnir, is an extension of the highly successful method HAMMER. New image features in order to better localize points of correspondence between the two images are introduced as well as a novel approach to generate a dense displacement field based upon the weighted diffusion of automatically derived feature correspondences. An extensive validation of the algorithm was performed on T1-weighted SPGR MR brain images from the NIREP evaluation database. The results were compared with results generated by HAMMER and are shown to yield significant improvements in cortical alignment as well as reduced computation time.http://dx.doi.org/10.1155/2009/281615 |
| spellingShingle | Lotta M. Ellingsen Jerry L. Prince Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration International Journal of Biomedical Imaging |
| title | Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration |
| title_full | Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration |
| title_fullStr | Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration |
| title_full_unstemmed | Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration |
| title_short | Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration |
| title_sort | mjolnir extending hammer using a diffusion transformation model and histogram equalization for deformable image registration |
| url | http://dx.doi.org/10.1155/2009/281615 |
| work_keys_str_mv | AT lottamellingsen mjolnirextendinghammerusingadiffusiontransformationmodelandhistogramequalizationfordeformableimageregistration AT jerrylprince mjolnirextendinghammerusingadiffusiontransformationmodelandhistogramequalizationfordeformableimageregistration |