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
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