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Surface-Bounded Growth Modeling Applied to Human Mandibles
- Source :
- IEEE Transactions on Medical Imaging. Nov, 2000, Vol. 19 Issue 11, 1053
- Publication Year :
- 2000
-
Abstract
- From a set of longitudinal three-dimensional scans of the same anatomical structure, we have accurately modeled the temporal shape and size changes using a linear shape model. On a total of 31 computed tomography scans of the mandible from six patients, 14851 semilandmarks are found automatically using shape features and a new algorithm called geometry-constrained diffusion. The semilandmarks are mapped into Procrustes space. Principal component analysis extracts a one-dimensional subspace, which is used to construct a linear growth model. The worst case mean modeling error in a cross validation study is 3.7 mm. Index Terms--Geometry-constrained diffusion, morphometrics, nonrigid shape-preserving registration, principal component analysis, Procrustes analysis, semilandmarks.
Details
- ISSN :
- 02780062
- Volume :
- 19
- Issue :
- 11
- Database :
- Gale General OneFile
- Journal :
- IEEE Transactions on Medical Imaging
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.70638096