A FINITE ELEMENT METHOD FOR ELASTIC PARAMETERIZATION AND ALIGNMENT OF CORTICAL SURFACES USING SULCAL CONSTRAINTS

We present a cortical surface registration method that simultaneously aligns sulcal landmarks and parameterizes two cortical surfaces. The approach is based on coregistration of cortical surface coordinate systems so that the labeled sulcal features share the same coordinates on both cortical surfac...

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Bibliographic Details
Published in2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 640 - 643
Main Authors Joshi, A.A., Shattuck, D.W., Thompson, P.M., Leahy, R.M.
Format Conference Proceeding
LanguageEnglish
Published 01.04.2007
Subjects
Brain modeling
Computational efficiency
Cost function
Equations
Finite element methods
Image processing
Laboratories
Neuroimaging
Signal processing
Vectors
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ISBN1424406714
9781424406715
ISSN1945-7928
DOI10.1109/ISBI.2007.356933

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Summary:We present a cortical surface registration method that simultaneously aligns sulcal landmarks and parameterizes two cortical surfaces. The approach is based on coregistration of cortical surface coordinate systems so that the labeled sulcal features share the same coordinates on both cortical surfaces. We model the cortex as an elastic sheet and solve the associated Cauchy-Navier equilibrium equation subject to sulcal alignment constraints. The elastic energy is computed directly with respect to the intrinsic surface geometry and discretized using a finite element method on triangular tessellations of the two surfaces. In contrast to alternative methods for cortical alignment, the method avoids the need for an intermediate flat space for sulcal landmark matching and provides a fast, accurate and inverse-consistent surface registration and parameterization for inter-subject neuroanatomical studies
ISBN:1424406714
9781424406715
ISSN:1945-7928
DOI:10.1109/ISBI.2007.356933