White matter tractographies registration using Gaussian mixture modeling

Orly Zvitia; Arnaldo Mayer; Hayit Greenspan

doi:10.1117/12.769809

19 March 2008 White matter tractographies registration using Gaussian mixture modeling

Orly Zvitia, Arnaldo Mayer, Hayit Greenspan

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69142G (2008) https://doi.org/10.1117/12.769809
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

This paper proposes a novel and robust approach to the registration (matching) of intra-subject white matter (WM) fiber sets extracted from DT-MRI scans by Tractography. For each fiber, a feature space representation is obtained by appending the sequence of its 3D coordinates. Clustering by non-parametric adaptive mean shift provides a representative fiber for each cluster hereafter termed the fiber-mode (FM). For each FM, the parameters of a multivariate Gaussian are computed from its fiber population, leading to a mixture of Gaussians (MoG) for the whole fiber set. The number of Gaussians used for a fiber set equals the number of FM representing the set. The alignment of two fiber sets is then treated as the alignment between two MoGs, and is solved by maximizing the correlation ratio between them. Initial results are presented for real intrasubject fiber sets and synthetic transformations.

Citation Download Citation

Orly Zvitia, Arnaldo Mayer, and Hayit Greenspan "White matter tractographies registration using Gaussian mixture modeling", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69142G (19 March 2008); https://doi.org/10.1117/12.769809

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