3D normal coordinate systems for cortical areas

J. Tilak Ratnanather, Sylvain Arguillère, Kwame S. Kutten, Peter Hubka, Andrej Kral, Laurent Younes

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)
8 Downloads (Pure)

Abstract

A surface-based diffeomorphic algorithm to generate 3D coordinate grids in the cortical ribbon is described. In the grid, normal coordinate lines are generated by the diffeomorphic evolution from the gray/white (inner) surface to the gray/csf (outer) surface. Specifically, the cortical ribbon is described by two triangulated surfaces with open boundaries. Conceptually, the inner surface sits on top of the white matter structure and the outer on top of the gray matter. It is assumed that the cortical ribbon consists of cortical columns which are orthogonal to the white matter surface. This might be viewed as a consequence of the development of the columns in the embryo. It is also assumed that the columns are orthogonal to the outer surface so that the resultant vector field is orthogonal to the evolving surface. Then the distance of the normal lines from the vector field such that the inner surface evolves diffeomorphically towards the outer one can be construed as a measure of thickness. Applications are described for the auditory cortices in human adults and cats with normal hearing or hearing loss. The approach offers great potential for cortical morphometry.

Original languageEnglish
Title of host publicationMathematics of shapes and applications
EditorsSergey Kushnarev, Anqi Qiu, Laurent Younes
Place of PublicationSingapore
PublisherWorld Scientific Publishing
Chapter7
Pages167-179
Number of pages13
ISBN (Electronic)9789811200144
ISBN (Print)9789811200120
DOIs
Publication statusPublished - 2020
Externally publishedYes

Publication series

NameLecture Notes Series, Institute for Mathematical Sciences
PublisherWorld Scientific Publishing
Volume37
ISSN (Print)1793-0758

Bibliographical note

Copyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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  • Cite this

    Ratnanather, J. T., Arguillère, S., Kutten, K. S., Hubka, P., Kral, A., & Younes, L. (2020). 3D normal coordinate systems for cortical areas. In S. Kushnarev, A. Qiu, & L. Younes (Eds.), Mathematics of shapes and applications (pp. 167-179). (Lecture Notes Series, Institute for Mathematical Sciences; Vol. 37). Singapore: World Scientific Publishing. https://doi.org/10.1142/9789811200137_0007