Three-dimensional segmentation and interpolation of magnetic resonance brain images

1. IEEE Trans Med Imaging. 1993;12(2):269-77.

Three-dimensional segmentation and interpolation of magnetic resonance brain
images.

Joliot M(1), Mazoyer BM.

Author information:
(1)Service Hospitalier Frederic Joliot, CEA, Orsay.

The authors propose a method for the 3-D reconstruction of the brain from
anisotropic magnetic resonance imaging (MRI) brain data. The method essentially
consists in two original algorithms both for segmentation and for interpolation
of the MRI data. The segmentation process is performed in three steps. A gray
level thresholding of the white and gray matter tissue is performed on the brain
MR raw data. A global white matter segmentation is automatically performed with a
global 3-D connectivity algorithm which takes into account the anisotropy of the
MRI voxel. The gray matter is segmented with a local 3-D connectivity algorithm.
Mathematical morphology tools are used to interpolate slices. The whole process
gives an isotropic binary representation of both gray and white matter which are
available for 3-D surface rendering. The power and practicality of this method
have been tested on four brain datasets. The segmentation algorithm favorably
compares to a manual one. The interpolation algorithm was compared to the
shaped-based method both quantitatively and qualitatively.

DOI: 10.1109/42.232255
PMID: 18218414

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