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Proceedings Paper

Multiobject segmentation of brain structures in 3D MRI using a computerized atlas
Author(s): Matthieu Ferrant; Olivier Cuisenaire; Benoit M. M. Macq
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Paper Abstract

We present a hierarchical multi-object surface-based deformable atlas for the automatic localization and identification of brain structures in MR images. The atlas is a multi-object mesh of 3D fully connected surfaces built upon a face centered cubic grid. The registration of the atlas to a patient's MR image is done in two steps: a global registration followed by a multi-object active surface deformation. First, the cortical surface and the ventricular system are segmented using directional watersheds. The global registration is a second degree transformation whose coefficients minimize a distance measure between these surfaces and the equivalent surfaces in the atlas. As a refinement step, the globally registered atlas surfaces are locally deformed using multi-object active surfaces. The external force driving the surfaces towards the edges in the image is a decreasing function of the gradient, and includes prior image information. The active surface equations are then solved using the finite element method. The surfaces of the multi-object mesh are deformed in a hierarchical way, starting with objects exhibiting very well defined features in the image to objects showing less obvious features. Experiments involving several sub-cortical atlas objects are presented.

Paper Details

Date Published: 21 May 1999
PDF: 10 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348491
Show Author Affiliations
Matthieu Ferrant, Univ. Catholique de Louvain and Massachusetts Institute of Technology (Belgium)
Olivier Cuisenaire, Univ. Catholique de Louvain (Belgium)
Benoit M. M. Macq, Univ. Catholique de Louvain (Belgium)

Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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