Multiobject segmentation of brain structures in 3D MRI using a computerized atlas

Matthieu Ferrant; Olivier Cuisenaire; Benoit M. M. Macq

doi:10.1117/12.348491

21 May 1999 Multiobject segmentation of brain structures in 3D MRI using a computerized atlas

Matthieu Ferrant, Olivier Cuisenaire, Benoit M. M. Macq

Proceedings Volume 3661, Medical Imaging 1999: Image Processing; (1999) https://doi.org/10.1117/12.348491
Event: Medical Imaging '99, 1999, San Diego, CA, United States

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.

Citation Download Citation

Matthieu Ferrant, Olivier Cuisenaire, and Benoit M. M. Macq "Multiobject segmentation of brain structures in 3D MRI using a computerized atlas", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348491

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