Abstract
The article presents statistical research aiming at the formulation of functions of the child’s head growth in the first year of age. The research group consisted of 129 infants, from 0 to 12 months of age, whose heads were subjected to computer tomography tests within a regular diagnosis of neurological and oncological diseases and other conditions. On the basis of medical images, 3D models of infants’ skulls were developed. They enabled determination of the coordinates of anatomical points. The craniometric database was subjected to a statistical analysis in order to develop a head growth model. Five directional vectors of the head growth were formulated in particular directions and three functions were proposed. The degree of the functions’ compatibility with empirical data was tested. The best-fitting model was selected for each vector by means of a nonlinear estimation method.
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Wolański, W., Kawlewska, E., Larysz, D., Gzik, M., Gorwa, J., Michnik, R. (2019). Prediction of the Child’s Head Growth in the First Year of Life. In: Tavares, J., Natal Jorge, R. (eds) VipIMAGE 2019. VipIMAGE 2019. Lecture Notes in Computational Vision and Biomechanics, vol 34. Springer, Cham. https://doi.org/10.1007/978-3-030-32040-9_28
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DOI: https://doi.org/10.1007/978-3-030-32040-9_28
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