Abstract
We present a longitudinal statistical shape/volumetric model of the cranium of infants and use it as prior information to support the design of cranial shape correction helmets. In addition, a logical approach based on natural brain growth is considered to derive necessary formulation to calculate the required treatment duration. The respective morphological analysis and statistical model will be integrated into the current haptic-based design pipeline of a company to produce an effective computer-assisted design system.
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CITATION STYLE
Shahim, K., Reyes, M., Simon, R., Jürgens, P., & Blecher, C. (2016). Advanced design system for infantile cranium shape model growth prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9805 LNCS, pp. 104–113). Springer Verlag. https://doi.org/10.1007/978-3-319-43775-0_10
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