UNIGE document Scientific Article
previous document  unige:43850  next document
add to browser collection
Title

Identification of growth seeds in the neonate brain through surfacic Helmholtz decomposition
Authors
Lefèvre, Julien
Leroy, François
Khan, Sheraz
Dubois, Jessica
Hüppi, Petra Susan
Baillet, Sylvain
Mangin, Jean-François
Published in Information processing in medical imaging : proceedings of the ... conference. 2009, vol. 21, p. 252-63
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
Identifiers
PMID: 19694268
Full text
Article (Published version) (1.1 MB) - document accessible for UNIGE members only Limited access to UNIGE
Structures
Faculté de médecine / Section de médecine clinique / Département de pédiatrie
Research group L'imagerie cérébrale (184)
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 : proceedings of the ... conference, 2009, vol. 21, p. 252-63. https://archive-ouverte.unige.ch/unige:43850

206 hits

0 download

Contact an author

Update request

Update

Deposited on : 2014-12-18

Export document
Format :
Citation style :