We introduce a new framework to construct atlases from images with very large and complex deformations. The atlas is build in parallel with groupwise registrations by extending the symmetric Log-Demons algorithm. We describe and evaluate two forms of our framework: the Groupwise Log-Demons (GL-Demons) is faster but is limited to local nonrigid deformations, and the Groupwise Spectral Log-Demons (GSL-Demons) is slower but, due to isometry-invariant representations of images, can construct atlases of organs with high shape variability. We demonstrate our framework by constructing atlases from hearts with high shape variability. © 2013 Springer-Verlag.
CITATION STYLE
Lombaert, H., Grady, L., Pennec, X., Peyrat, J. M., Ayache, N., & Cheriet, F. (2013). Groupwise spectral log-demons framework for atlas construction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7766 LNCS, pp. 11–19). https://doi.org/10.1007/978-3-642-36620-8_2
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