| Literature DB >> 11204843 |
P R Andresen1, F L Bookstein, K Conradsen, B K Ersbøll, J L Marsh, S Kreiborg.
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, 14,851 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.Entities:
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Year: 2000 PMID： 11204843 DOI： 10.1109/42.896780
Source DB: PubMed Journal: IEEE Trans Med Imaging ISSN： 0278-0062 Impact factor: 10.048