Surface-bounded growth modeling applied to human mandibles.
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.
Andresen
P R
PR
Department of Mathematical Modeling, Technical University of Denmark, Lyngby. pra@imm.dtu.dk
Bookstein
F L
FL
Conradsen
K
K
Ersbøll
B K
BK
Marsh
J L
JL
Kreiborg
S
S
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*