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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Songyuan Tang Yongtian Wang Rui Xu |
| Copyright Year | 2013 |
| Description | Author affiliation: Grad. Sch. of Med., Yamaguchi Univ., Yamaguchi, Japan (Rui Xu) || Beijing Inst. of Technol., Beijing, China (Songyuan Tang; Yongtian Wang) |
| Abstract | This paper presents a fast and accurate image registration method for high dimensional images. The method uses a statistical shape deformation model to represent deformation fields which warp an individual image to a selected template image. The statistical shape deformation model is built by the generalized N-dimensional principal component analysis (GND-PCA) with training samples of deformation fields, which deform the individual sample images to the selected template image. The statistical deformation model can be built with fewer samples and can represent individual deformation fields effectively by a small number of parameters, which is used to rapidly estimate the deformation field between the template image and a new individual image. The estimated deformation field is used to warp the individual image, and the warped image is close to the template image. The shape difference between the warped individual image and the template is estimated by an image registration algorithm, e.g., HAMMER. The proposed method has been validated by 3D MR brain images. |
| Sponsorship | IEEE Syst., Man Cybern. Soc. |
| Starting Page | 45 |
| Ending Page | 49 |
| File Size | 343556 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467329705 |
| e-ISBN | 9781467329712 |
| DOI | 10.1109/ICCME.2013.6548209 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-05-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Deformable models Training Image registration Tensile stress Shape GND-PCA medical image registration Principal component analysis Biomedical imaging statistical shape deformation model |
| Content Type | Text |
| Resource Type | Article |
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