Journal article
Surface-bounded growth modeling applied to human mandibles
From a set of longitudinal three-dimensional scans of the same anatomical structure, the authors 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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2000 |
| Pages: | 1053-1063 |
| ISSN: | 1558254x and 02780062 |
| Types: | Journal article |
| DOI: | 10.1109/42.896780 |
| ORCIDs: | Conradsen, Knut and Ersbøll, Bjarne Kjær |
Anatomical structure Anthropometry CT scans Child Child, Preschool Computed tomography Computer Simulation Deformable models Female Humans Image analysis Infant Male Mandible Mathematical model Principal component analysis Procrustes space Shape Surgery Teeth algorithm anatomical structure computerised tomography cross validation study geometry-constrained diffusion human mandibles image registration longitudinal three-dimensional scans mean modeling error medical image processing one-dimensional subspace orthopaedics physiological models principal component analysis semilandmarks shape features size changes surface-bounded growth modeling temporal shape changes
