White Matter Bundle Registration and Population Analysis Based on Gaussian Processes

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White Matter Bundle Registration and Population Analysis Based on Gaussian Processes

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Title: White Matter Bundle Registration and Population Analysis Based on Gaussian Processes
Author: Wassermann, Demian; Rathi, Yogesh; Bouix, Sylvain; Kubicki, Marek R.; Kikinis, Ron; Shenton, Martha Elizabeth ORCID  0000-0003-4235-7879 ; Westin, Carl-Fredrik

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Citation: Wassermann D, Rathi Y, Bouix S, Kubicki M, Kikinis R, Shenton M, Westin CF. 2011. White matter bundle registration and population analysis based on Gaussian processes. Inf Process Med Imaging 22:320-32. doi:10.1007/978-3-642-22092-0_27
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Abstract: This paper proposes a method for the registration of white matter tract bundles traced from diffusion images and its extension to atlas generation. Our framework is based on a Gaussian process representation of tract density maps. Such a representation avoids the need for point-to point correspondences, is robust to tract interruptions and reconnections and seamlessly handles the comparison and combination of white matter tract bundles. Moreover, being a parametric model, this approach has the potential to be defined in the Gaussian processes’ parameter space, without the need for resampling the fiber bundles during the registration process. We use the similarity measure of our Gaussian process framework, which is in fact an inner product, to drive a diffeomorphic registration algorithm between two sets of homologous bundles which is not biased by point-to-point correspondences or the parametrization of the tracts. We estimate a dense deformation of the underlying white matter using the bundles as anatomical landmarks and obtain a population atlas of those fiber bundles. Finally we test our results in several different bundles obtained from in-vivo data.
Published Version: doi:10.1007/978-3-642-22092-0_27
Other Sources: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3140022/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:28548988
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