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Scientific article
English

Identification of growth seeds in the neonate brain through surfacic Helmholtz decomposition

Published inInformation processing in medical imaging, vol. 21, p. 252-263
Publication date2009
Abstract

We report on a new framework to investigate the rapid brain development of newborns. It is based on the analysis of depth maps of the cortical surface through the study of a displacement field estimated by surfacic optical flow methods. This displacement field shows local evolution of sulci directly on the cortical surface. Detection of its critical points is performed with the Helmholtz decomposition which allows us to identify sources of the developmental process. They can be viewed as growth seeds or in other terms points around which the sulcal growth organizes itself. We show the reproducibility of such growth seeds across 4 neonates and make a link of this new concept to the "sulcal roots" one proposed to explain the variability of human brain anatomy.

Keywords
  • Algorithms
  • Artificial Intelligence
  • Brain/anatomy & histology/growth & development
  • Humans
  • Image Enhancement/methods
  • Image Interpretation, Computer-Assisted/methods
  • Imaging, Three-Dimensional/methods
  • Infant, Newborn/growth & development
  • Magnetic Resonance Imaging/methods
  • Pattern Recognition, Automated/methods
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Subtraction Technique
Citation (ISO format)
LEFÈVRE, Julien et al. Identification of growth seeds in the neonate brain through surfacic Helmholtz decomposition. In: Information processing in medical imaging, 2009, vol. 21, p. 252–263. doi: 10.1007/978-3-642-02498-6_21
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Article (Published version)
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ISSN of the journal1011-2499
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