• DocumentCode
    139252
  • Title

    Quantification of skull deformity for craniofacial research

  • Author

    Lam, Irma ; Cunningham, Michael ; Birgfeld, Craig ; Speltz, Matthew ; Shapiro, Linda

  • Author_Institution
    Dept. of Biomed. Inf. & Med. Educ., Univ. of Washington, Seattle, WA, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    758
  • Lastpage
    761
  • Abstract
    Craniosynostosis, a disorder in which one or more fibrous joints of the skull fuse prematurely, causes skull malformation and may be associated with increased intracranial pressure and developmental delays. In order to perform medical research studies that relate phenotypic abnormalities to outcomes such as cognitive ability or results of surgery, biomedical researchers need an automated methodology for quantifying the degree of abnormality of the disorder. This paper addresses that need by proposing a set of features derived from CT scans of the skull that can be used for this purpose. A thorough set of experiments is used to evaluate the features as compared to two human craniofacial experts in a ranking evaluation.
  • Keywords
    biomechanics; bone; cognition; computerised tomography; deformation; medical disorders; CT scans; automated methodology; biomedical researchers; cognitive ability; craniofacial research; craniosynostosis; degree of abnormality; developmental delays; disorder; fibrous joints; human craniofacial experts; intracranial pressure; medical research studies; phenotypic abnormalities; ranking evaluation; skull deformity quantification; skull malformation; surgery; Back; Biomedical imaging; Computed tomography; Correlation; Feature extraction; Skull; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6943701
  • Filename
    6943701