Frequency Diffeomorphisms for Efficient Image Registration

Frequency Diffeomorphisms for Efficient Image Registration

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© Springer International Publishing AG 2017. This paper presents an efficient algorithm for large deformation diffeomorphic metric mapping (LDDMM) with geodesic shooting for image registration. We introduce a novel finite dimensional Fourier representation of diffeomorphic deformations based on the...

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Bibliographic Details
Main Authors: Zhang, Miaomiao, Liao, Ruizhi, Dalca, Adrian V., Turk, Esra A., Luo, Jie, Grant, P. Ellen, Golland, Polina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Springer Nature 2021
Online Access:https://hdl.handle.net/1721.1/137571

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https://hdl.handle.net/1721.1/137571

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