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Elastic 3-D Alignment of Rat Brain Histological Images (2003)
| Content Provider | CiteSeerX |
|---|---|
| Author | Gefen, Smadar Tretiak, Oleh Nissanov, Jonathan |
| Abstract | A three-dimensional wavelet-based algorithm for nonlinear registration of an elastic body model of the brain is developed. Surfaces of external and internal anatomic brain structures are used to guide alignment. The deformation field is represented with a multiresolution wavelet expansion and is modeled by the partial differential equations of linear elasticity. A progressive estimation of the registration parameters and the usage of an adaptive distance map reduce algorithm complexity, thereby providing computational flexibility that allows mapping of large, high resolution datasets. The performance of the algorithm was evaluated on rat brains. The wavelet-based registration method yielded a twofold improvement over affine registration. |
| File Format | |
| Volume Number | 22 |
| Journal | IEEE TRANSACTIONS ON MEDICAL IMAGING |
| Language | English |
| Publisher Date | 2003-01-01 |
| Access Restriction | Open |
| Subject Keyword | Elastic 3-d Alignment Rat Brain Histological Image High Resolution Datasets Linear Elasticity Deformation Field Registration Parameter Partial Differential Equation Elastic Body Model Affine Registration Adaptive Distance Map Progressive Estimation Internal Anatomic Brain Structure Three-dimensional Wavelet-based Algorithm Rat Brain Algorithm Complexity Nonlinear Registration Twofold Improvement Wavelet-based Registration Method Multiresolution Wavelet Expansion Computational Flexibility |
| Content Type | Text |
| Resource Type | Article |
