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Surface-bounded growth modeling applied to human mandibles

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6 Author(s)
Andresen, P.R. ; Dept. of Math. Modeling, Tech. Univ. Denmark, Lyngby, Denmark ; Bookstein, Fred L. ; Couradsen, K. ; Ersboll, B.K.
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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.

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Medical Imaging, IEEE Transactions on  (Volume:19 ,  Issue: 11 )