Journal article
Surface-based matching using elastic transformations
Pattern recognition, v 32(1), pp 87-97
1999
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We introduce a methodology for the alignment of multidimensional data, such as brain scans. The proposed approach does not require fiducial-point correspondence; correspondence of surfaces provides sufficient data for registration. We extend multidimensional interpolation theory by using a more general form of energy functional, which leads to basis functions that have different orders at zero and infinity. This allows flexibility in the design of the interpolation solution. The problem is transformed into a linear algebra problem. Two techniques for better conditioning of the system matrix are described. Experimental results on two- and three-dimensional alignment of brain data used in neurochemistry research are shown.
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Details
- Title
- Surface-based matching using elastic transformations
- Creators
- Maria Gabrani - Drexel UniversityOleh J. Tretiak - Drexel University
- Publication Details
- Pattern recognition, v 32(1), pp 87-97
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000078298000007
- Scopus ID
- 2-s2.0-0032777365
- Other Identifier
- 991019168093504721
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- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic