• DocumentCode
    139542
  • Title

    A method for assessing nonlinear growth in the fetal cortex

  • Author

    Shishegar, Rosita ; Britto, Joanne M. ; Johnston, Leigh A.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    1525
  • Lastpage
    1528
  • Abstract
    The cerebral cortex is folded into gyri and sulci in the brains of higher mammals. Quantitative study of the process by which the cortex folds during brain development is critical to a complete understanding of normal brain development and neuro-developmental disorders. In this work, we propose a new method by which to localise nonlinearities in the cortical folding process, and thereby identify regions of differential growth across the cortex. Our method is based on spherical harmonic (SPHARM) representation of the cortical surface. Linearity is assessed by comparison of each SPHARM reconstructed surface with an artificial surface constructed using a linear combination of SPHARM coefficients from data at adjoining developmental time points. The resultant quantification of cortical folding development is easy to interpret, and the method has low computational cost. We demonstrate application to a set of experimental MRI data of fetal sheep brains, across key developmental timepoints as the cortex first folds during development.
  • Keywords
    biomedical MRI; brain; medical disorders; neurophysiology; obstetrics; MRI data; SPHARM representation; brain development; cerebral cortex; cortical folding process; fetal cortex nonlinear growth; fetal sheep brains; gyri; neurodevelopmental disorders; spherical harmonic representation; sulci; Approximation methods; Complexity theory; Harmonic analysis; Image reconstruction; Shape; Surface morphology; Surface reconstruction;
  • 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.2014.6943892
  • Filename
    6943892