Reference: NORTE-01-0145-FEDER-024300   Date: 2017 to 2019

PI: João L. Vilaça

Budget: 142.785,46€


Deformational plagiocephaly (DP) is characterized by an asymmetrical distortion of the infant’s skull, typically caused by postnatal positioning or prenatal restrictions. The current options to treat this condition are head repositioning at rest, or application of physical and orthotic therapies. The latter is the one that showed superior improvement of DP, but still presents complications, like soft tissue injury over pressure points, hair loss, infant’s potential discomfort and poor fitting. The aim of this project is to develop a new framework to produce personalized cranial orthosis for DP correction. Based on the 3D model of the infant’s head, this framework will automatically design the best fitting cranial orthosis. Additionally, the cranial orthosis will have an embedded system for continuous monitoring of the DP treatment. Overall, such solution has the potential to avoid the complications of current therapies and improve the final aesthetic result.


  • Oliveira, Bruno, et al. “Automatic strategy for extraction of anthropometric measurements for the diagnostic and evaluation of deformational plagiocephaly from infant’s head models.” Medical Imaging 2019: Computer-Aided Diagnosis. Vol. 10950. International Society for Optics and Photonics, 2019. [Link]
  • Veloso, Fernando, et al. “Synthetic infant head shapes with deformational plagiocephaly: concept and 3D model parameterization.” 2019 IEEE 7th International Conference on Serious Games and Applications for Health (SeGAH). IEEE, 2019. [Link]
  • Torres, Helena R., et al. “Deep learning-based detection of anthropometric landmarks in 3D infants head models.” Medical Imaging 2019: Computer-Aided Diagnosis. Vol. 10950. International Society for Optics and Photonics, 2019. [Link]
  • Queirós, S. et al. (2018), MITT: Medical Image Tracking Toolbox. IEEE Transactions on Medical Imaging , 37 (11), 2547-2557, 2018; DOI: 10.1109/TMI.2018.2840820. [Link]
  • Oliveira P. et al. (2018) Automatic Clinic Measures and Comparison of Heads Using Point Clouds. In: Madureira A., Abraham A., Gandhi N., Varela M. (eds) Hybrid Intelligent Systems. HIS 2018. Advances in Intelligent Systems and Computing, vol 923. Springer, Cham. [Link] 
  • 4 more publications currently under review (2 journals and 2 proceedings);

Master thesis:

  • Pedro Oliveira, “Desenvolvimento de aplicação gráfica para extração automática de medidas antropométricas de nuvens de pontos de cabeças”, Dissertação do Mestrado em Engenharia Informática – Sistemas Gráficos e Multimédia, 2019. Orientador: António Vieira de Castro. Instituto Superior de Engenharia do Porto. [Link]
  • Ricardo Sousa, “Análise automática de nuvens de pontos 3D de cabeças com Plagiocefalia Posicional”, Dissertação do Mestrado em Engenharia Informática, 2019. Orientador: Maria de Fátima Coutinho Rodrigues. Instituto Superior de Engenharia do Porto. [Link]



  • Anne. Fritze (UKDresden)
  • António Vieira Castro (ISEP)
  • António Moreira (2Ai-IPCA)
  • Bruno Oliveira (2Ai-IPCA)
  • Estela Vilhena (2Ai-IPCA)
  • Fernando Veloso (2Ai-IPCA)
  • Helena Torres (2Ai-IPCA)
  • João Gonçalo Pereira (2Ai-IPCA)
  • João Luís Pereira (CENTI)
  • João Vilaça (2Ai-IPCA, PI)
  • Mario Ruediger (UKDresden)
  • Maria Fátima Rodrigues (ISEP)
  • Nuno Dias (2Ai-IPCA)
  • Nuno Rodrigues (2Ai-IPCA)
  • Pedro Morais (2Ai-IPCA)


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