title: Surface-bounded growth modeling applied to human mandibles.
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.
authors.affiliation: Department of Mathematical Modeling, Technical University of Denmark, Lyngby. pra@imm.dtu.dk
authors.forename: P R
authors.initials: PR
authors.lastname: Andresen
authors.forename: F L
authors.initials: FL
authors.lastname: Bookstein
authors.forename: K
authors.initials: K
authors.lastname: Conradsen
authors.forename: B K
authors.initials: BK
authors.lastname: Ersbøll
authors.forename: J L
authors.initials: JL
authors.lastname: Marsh
authors.forename: S
authors.initials: S
authors.lastname: Kreiborg
mesh_terms: D000886:Anthropometry; D002648:Child; D002675:Child, Preschool; D003198:Computer Simulation; D005260:Female; D006801:Humans; D007223:Infant; D008297:Male; D008334:Mandible / Q000033:anatomy & histology* / Q000254:growth & development*