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Unbiased longitudinal brain atlas creation using robust linear registration and log-Euclidean framework for diffeomorphisms
Abstract : We present a new method to create a diffeomorphic longitudinal (4D) atlas composed of a set of 3D atlases each representing an average model at a given age. This is achieved by generalizing atlasing methods to produce atlases unbiased with respect to the initial reference up to a rigid transformation and ensuring diffeomorphic deformations thanks to the Baker-Campbell-Hausdorff formula and the log-Euclidean framework for diffeomorphisms. Subjects are additionally weighted using an asymmetric function to closely match specified target ages. Creating a longitudinal atlas also implies dealing with subjects with large brain differences that can lead to registration errors. This is overcome by a robust rigid registration based on polar decomposition. We illustrate these techniques for the creation of a 4D pediatric atlas, showing their ability to create a temporally consistent atlas.
Cited literature [11 references]
https://www.hal.inserm.fr/inserm-02099958
Contributor : Antoine Legouhy <>
Submitted on : Thursday, June 6, 2019 - 3:39:33 PM
Last modification on : Thursday, February 27, 2020 - 1:20:52 AM
Contributor : Antoine Legouhy <>
Submitted on : Thursday, June 6, 2019 - 3:39:33 PM
Last modification on : Thursday, February 27, 2020 - 1:20:52 AM
