Mixtures of Gaussians on tensor fields for DT-MRI segmentation

Authors:
Rodrigo De Luis-García;Carlos Alberola-López
Affiliations:
ETSI Telecomunicación, University of Valladolid, Valladolid, Spain;ETSI Telecomunicación, University of Valladolid, Valladolid, Spain
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2007

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Abstract

In this paper, an original approach for the segmentation of tensor fields is proposed. Based on the modeling of the data by means of Gaussian mixtures directly in the tensor domain, this technique presents a wide range of applications in medical image processing, particularly for Diffusion Tensor Magnetic Resonance Imaging (DT-MRI). The performance of the segmentation method proposed is shown through the segmentation of the corpus callosum from a dataset of 32 DT-MRI volumes. Comparison with a recent and related segmentation approach is favorable to our method, showing its capability for the automatic extraction of anatomical structures in the white matter.