Publication details
Low-dimensional Multimodal Deformable Registration of MRI Brain Images in Stereotaxic Space
| Authors | |
|---|---|
| Year of publication | 2006 |
| Type | Article in Periodical |
| Magazine / Source | European Journal for Biomedical Informatics |
| MU Faculty or unit | |
| Citation | |
| Web | http://www.ejbi.org/articles/2006/list.html |
| Field | Use of computers, robotics and its application |
| Keywords | image processing;image registration;MRI images;computational neuroanatomy;radial basis functions |
| Description | Deformable image registration is a fundamental technique in computational neuroanatomy. An iterative multilevel block matching technique with the use of several recent inventions is proposed here. A symmetric multimodal similarity measure allows to register subject images to an arbitrary digital brain atlas. Smooth deformations produced by scattered data interpolation based on compactly supported radial basis functions suppress gross inter-subject differences and preserve the localized anatomical variability which may be further studied with selected automated morphometry methods. Four similarity measures are tested in an experiment with image data obtained from the Simulated Brain Database and a quantitative evaluation of the algorithm is presented. |
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