Scientific article
English

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

Published in

Information processing in medical imaging, vol. 21, p. 252-263

Publication date

2009

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

UNIGE research groups

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

Main files (1)

Article (Published version)

Identifiers

Journal ISSN

1011-2499
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Technical informations

Creation

07/10/2014 14:44:00

First validation

07/10/2014 14:44:00

Update

14/03/2023 22:30:29

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14/03/2023 22:30:29

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