Conference proceeding
Invariant surface alignment in the presence of affine and some nonlinear transformations
IEEE WORKSHOP ON MATHEMATICAL METHODS IN BIOMEDICAL IMAGE ANALYSIS, PROCEEDINGS, pp 78-85
01 Jan 2000
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, we introduce a non-iterative geometric-based method to align 3D brain surfaces into standard coordinate system (SCS), which is bused on a novel set of surface landmarks (e.g., inflection and/or zero torsion points residing on the parabolic contours), which are intrinsic and are computed from the differential geometry of the surface. This is ill contrast to existing methods that depend on anatomical landmarks that require expert intervention to locate - a very hard task. The landmarks al-e local and are preserved under affine transformations. To reduce the sensitivity of the landmarks to noise, we use a B-Spline surface representation that smooths out the sui-face prior to the computation of the landmarks. The alignment is achieved by establishing correspondences benz een the landmarks after a conformal sorting based on derived absolute invariants (volumes confined between parallele-pipeds spanned by sets of the landmark point quadruplets). The method is tested for intra- and inter-brain alignments while entertaining cubic nonlinear-transformations.
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Details
- Title
- Invariant surface alignment in the presence of affine and some nonlinear transformations
- Creators
- F S Cohen - Drexel UniversityC Pintavirooj - Drexel UniversityIEEE COMPUTER SOCIETY
- Publication Details
- IEEE WORKSHOP ON MATHEMATICAL METHODS IN BIOMEDICAL IMAGE ANALYSIS, PROCEEDINGS, pp 78-85
- Conference
- IEEE WORKSHOP ON MATHEMATICAL METHODS IN BIOMEDICAL IMAGE ANALYSIS
- Publisher
- IEEE
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000088359800010
- Other Identifier
- 991019168492704721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Mathematics, Applied
- Radiology, Nuclear Medicine & Medical Imaging