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Proceedings Paper

New method for identifying cortical convolutions in MR brain images
Author(s): Yaorong Ge; J. Michael Fitzpatrick; Jun Bao; Benoit M. Dawant; Robert M. Kessler; Richard A. Margolin
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Paper Abstract

Analysis of brain images often requires accurate localization of cortical convolutions. Although magnetic resonance (MR) brain images offer sufficient resolution for identifying convolutions in theory, the nature of tomographic imaging prevents clear definition of convolutions in individual slices. Existing methods for solving this problem rely on brain atlases created from a small number of individuals. These methods do not usually provide high accuracy because of large biological variations among individuals. We propose to localize convolutions by linking realistic visualizations of the cortical surface with the original image volume itself. We have developed a system so that a user can quickly localize key convolutions in several visualizations of an entire brain surface. Because of the links between the visualizations and the original volume, these convolutions are simultaneously localized in the original image slices. In the process of our development we have also implemented a fast and easy method for visualizing cortical surfaces in MR images and therefore makes our scheme usable in practical applications.

Paper Details

Date Published: 11 May 1994
PDF: 13 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175082
Show Author Affiliations
Yaorong Ge, Vanderbilt Univ. Medical Ctr. (United States)
J. Michael Fitzpatrick, Vanderbilt Univ. Medical Ctr. (United States)
Jun Bao, Vanderbilt Univ. Medical Ctr. (United States)
Benoit M. Dawant, Vanderbilt Univ. Medical Ctr. (United States)
Robert M. Kessler, Vanderbilt Univ. Medical Ctr. (United States)
Richard A. Margolin, Vanderbilt Univ. Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

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