Surface analysis from video volumes for fetal alcohol syndrome classification

Shiaofen Fang, Ying Liu, Vinci Booher Sophia, Bruce Anthony, Feng Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

3D shape reconstruction is often a necessary step to obtain geometric information from multiple 2D images for shape analysis. In this paper, a new shape analysis technique is proposed using surface features derived directly from the video volume of 2D images. It avoids the explicit 3D reconstruction process, which is often not very robust and accurate for surface feature analysis. Video volumes are created from stacks of 2D images taken from a pre-determined set of views. Surface features are extracted from the video volumes for shape analysis. This technique is applied to a medical diagnosis application for Fetal Alcohol Syndrome (FAS) using images of mouse embryos.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2010
Pages22-26
Number of pages5
DOIs
StatePublished - Dec 1 2010
EventInternational Conference on Digital Image Computing: Techniques and Applications, DICTA 2010 - Sydney, NSW, Australia
Duration: Dec 1 2010Dec 3 2010

Publication series

NameProceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010

Other

OtherInternational Conference on Digital Image Computing: Techniques and Applications, DICTA 2010
CountryAustralia
CitySydney, NSW
Period12/1/1012/3/10

Keywords

  • Fetal alcohol syndrome
  • Iso-surface extraction
  • Surface analysis
  • Video volume

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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  • Cite this

    Fang, S., Liu, Y., Sophia, V. B., Anthony, B., & Zhou, F. (2010). Surface analysis from video volumes for fetal alcohol syndrome classification. In Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010 (pp. 22-26). [5692534] (Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010). https://doi.org/10.1109/DICTA.2010.13