Surface-bounded growth modeling applied to human mandibles

Author

Andresen, Per Rønsholt ; Bookstein, Fred L. ; Couradsen, K. ; Ersboll, Bjarne K. ; Marsh, Jeffrey L. ; Kreiborg, Sven

Author_Institution

Dept. of Math. Modeling, Tech. Univ. Denmark, Lyngby, Denmark

Volume

19

Issue

11

fYear

2000

Firstpage

1053

Lastpage

1063

Abstract

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.

Keywords

computerised tomography; image registration; medical image processing; orthopaedics; physiological models; principal component analysis; CT scans; Procrustes space; algorithm; anatomical structure; cross validation study; geometry-constrained diffusion; human mandibles; longitudinal three-dimensional scans; mean modeling error; one-dimensional subspace; semilandmarks; shape features; size changes; surface-bounded growth modeling; temporal shape changes; Anatomical structure; Computed tomography; Deformable models; Humans; Image analysis; Mathematical model; Principal component analysis; Shape; Surgery; Teeth; Anthropometry; Child; Child, Preschool; Computer Simulation; Female; Humans; Infant; Male; Mandible;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.896780

Filename

896780