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SubmittedOpen Access (License Unspecified), Open
Journal article
Elastic 3-D alignment of rat brain histological images
IEEE transactions on medical imaging, v 22(11), pp 1480-1489
01 Nov 2003
PMID: 14606681
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Elastic 3-D alignment of rat brain histological images
- Creators
- Smadar Gefen - Drexel UniversityOleh Tretiak - Drexel UniversityJonathan Nissanov - Drexel University
- Publication Details
- IEEE transactions on medical imaging, v 22(11), pp 1480-1489
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Grant note
- NS07440 / NINDS NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; [Retired Faculty]
- Web of Science ID
- WOS:000186286200014
- Scopus ID
- 2-s2.0-0344464966
- Other Identifier
- 991021965361104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Biomedical
- Engineering, Electrical & Electronic
- Imaging Science & Photographic Technology
- Radiology, Nuclear Medicine & Medical Imaging