Surface-bounded growth modeling applied to human mandibles |
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| 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 sub-space, which is used to construct a
linear growth model. The worst case mean modeling error in a cross validation study is 3.7 mm. |
| Type | Journal paper [With referee] |
| Journal | IEEE Transactions on Medical Imaging, |
| Year | 2000 Month November Vol. 19 No. 11 pp. 1053-1063 |
| Electronic version(s) | [pdf] |
| Publication link | http://www.imm.dtu.dk/~pra/tmi_paper.html |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |