Automatic Assessment of Skull Circumference in Craniosynostosis

  • Anna Fabijańska
  • Tomasz Węgliński
  • Jarosław Gocławski
  • Wanda Mikołajczyk-Wieczorek
  • Krzysztof Zakrzewski
  • Emilia Nowosławska
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8671)

Abstract

The premature fusion of one or more calvarias sutures of the infant’s skull causes a common pediatric disease called craniosynostosis. This condition causes a serious deformation of the head shape and may produce a noticeable disorder in the neuropsychological development of a child and can be treated only by a surgery. The fused sutures are typically confirmed by the computed tomography (CT) imaging. The surgical outcome and overall progress of the treatment is assessed based on a clinical judgment and an additional manual measurement of the head circumference (HC) index. The research presented in this paper considered the problem of an automatic calculation of the HC index based on CT scans. In particular, algorithms for the skull segmentation, determination of the head central sagittal plane and skull landmarks used for the calculation of the HC indices are introduced.

Keywords

image processing image analysis craniosynostosis head circumference 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Lajeunie, E., Le Merrer, M., Marchac, C., Renier, D.: Genetic study of scaphocepaly. Am. J. Med. Gene. 62, 282–285 (1996)CrossRefGoogle Scholar
  2. 2.
    Cohen, M.M., MacLean, M.C.: Craniosynostosis: Diagnosis, Evaluation, and Management, 2nd edn. Oxford University Press, Oxford (2000)Google Scholar
  3. 3.
    Marieb, E.N., Hoehn, K.: Human Anatomy and Physiology. Pearson Benjamin Cummings. San Francisco (2007)Google Scholar
  4. 4.
    Thompson, D.N.P., Britto, J.: The clinical management of craniosynostosis, pp. 12–44. Mac Keith Press, London (2004)Google Scholar
  5. 5.
    Wolański, W., Larysz, D., Gzik, M., Kawlewska, E.: Modeling and biomechanical analysis of craniosynostosis correction with the use of finite element method. Int. J. Numer. Meth. Biomed. Engng. 2013 29, 916–925 (2013)CrossRefGoogle Scholar
  6. 6.
    Gzik, M., Wolański, W., Tejszerska, D., Gzik-Zroska, B., Koźlak, M., Larysz, D., Mandera, M.: Application of 3D modeling and modern visualization technique to neurosurgical trigonocephaly correction in children. World Congress on Medical Physics and Biomedical Engineering, IFMBE Proceedings 25(9), 68–71 (2009)Google Scholar
  7. 7.
    Lin, H.J., Ruiz-Correa, S., Shapiro, L.G., Speltz, M.L., Cunningham, M.L., Sze, R.W.: Predicting Neuropsychological Development from Skull Imaging. In: EMBS Annual International Conference, New York City, USA (2006)Google Scholar
  8. 8.
    Teng, C.C., Shapiro, L., Hopper, R.A., Halen, J.V.: Pediatric Cranial Defect Surface Analysis For Craniosynostosis Postoperation CT Images. Biomedical Imaging: From Nano to Macro, 620–623 (2008)Google Scholar
  9. 9.
    Jensen, R.R., Thorup, S.S., Paulsen, R.R., Darvann, T.A., Hermann, N.V., Larsen, P., Kreiborg, S., Larsen, R.: Genus zero graph segmentation: Estimation of intracranial volume. Pattern Recognition Letters (in print, 2014)Google Scholar
  10. 10.
    de Oliveira, M.E., Hallila, H., Ritvanen, A., Buchler, P., Paulasto, M., Hukki, J.: Postoperative Evaluation of Surgery f or Craniosynostosis Based on Image Registration Techniques. In: 32nd Annual International Conference of the IEEE EMBS, pp. 5620–5623 (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Anna Fabijańska
    • 1
  • Tomasz Węgliński
    • 1
  • Jarosław Gocławski
    • 1
  • Wanda Mikołajczyk-Wieczorek
    • 2
  • Krzysztof Zakrzewski
    • 2
  • Emilia Nowosławska
    • 2
  1. 1.Institute of Applied Computer ScienceŁódź University of TechnologyŁódźPoland
  2. 2.Polish Mother’s Memorial Hospital - Research InstituteŁódźPoland

Personalised recommendations