Construction of an averaged representation of human cortical gyri using non-linear principal component analysis

Lohmann, G. and von Cramon, D.Y. and Colchester, A.C.F. (2005) Construction of an averaged representation of human cortical gyri using non-linear principal component analysis. In: Duncan, J. and Gerig, G., eds. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. Lecture Notes in Computer Science, 3750 . Springer, Berlin, Germany pp. 749-756. ISBN 978-3-540-29326-2. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1007/11566489_92

Abstract

Because of the complex shape of human cortical gyri and great variation between individuals, development of effective representation schemes which allow establishment of correspondence between individuals, extraction of average structure of a Population, and co-registration has proved very difficult. We introduce an approach which extracts line representations of gyri at different depths from high resolution MRI, labels main gyri semi-automatically, and extracts a template from a population using non-linear principal component analysis. The method has been tested on data from 96 healthy human volunteers. The model captures the most salient shape features of all major cortical gyri, and can be used for inter-subject registration, for investigating regionalized inter-subject variability, and for inter-hemispheric comparisons.

Item Type: Conference or workshop item (Paper)
Subjects: R Medicine > R Medicine (General)
Divisions: Faculties > Science Technology and Medical Studies > Kent Institute of Medicine and Health Sciences (KIMHS)
Depositing User: M.P. Stone
Date Deposited: 08 Aug 2009 19:27
Last Modified: 08 Aug 2009 19:27
Resource URI: http://kar.kent.ac.uk/id/eprint/12190 (The current URI for this page, for reference purposes)
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