Back to Search
Start Over
A novel surface registration algorithm with biomedical modeling applications
- Source :
- IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society. 11(4)
- Publication Year :
- 2007
-
Abstract
- In this paper, we propose a novel surface matching algorithm for arbitrarily shaped but simply connected 3-D objects. The spherical harmonic (SPHARM) method is used to describe these 3-D objects, and a novel surface registration approach is presented. The proposed technique is applied to various applications of medical image analysis. The results are compared with those using the traditional method, in which the first-order ellipsoid is used for establishing surface correspondence and aligning objects. In these applications, our surface alignment method is demonstrated to be more accurate and flexible than the traditional approach. This is due in large part to the fact that a new surface parameterization is generated by a shortcut that employs a useful rotational property of spherical harmonic basis functions for a fast implementation. In order to achieve a suitable computational speed for practical applications, we propose a fast alignment algorithm that improves computational complexity of the new surface registration method from O(n3) to O(n2).
- Subjects :
- Surface (mathematics)
Property (programming)
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image registration
Basis function
Models, Biological
Sensitivity and Specificity
Imaging, Three-Dimensional
Artificial Intelligence
Image Interpretation, Computer-Assisted
Computer vision
Computer Simulation
Electrical and Electronic Engineering
ComputingMethodologies_COMPUTERGRAPHICS
business.industry
Medical image computing
Spherical harmonics
Reproducibility of Results
General Medicine
Image Enhancement
Ellipsoid
Computer Science Applications
Subtraction Technique
Artificial intelligence
business
Parametrization
Algorithm
Algorithms
Biotechnology
Subjects
Details
- ISSN :
- 10897771
- Volume :
- 11
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society
- Accession number :
- edsair.doi.dedup.....0e485d57d8612bd3f375acadfac9d0a7