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Publication Detail
A symmetric block-matching framework for global registration
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  • Authors:
    Modat M, Cash DM, Daga P, Winston GP, Duncan JS, Ourselin S
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  • Published proceedings:
    Progress in Biomedical Optics and Imaging - Proceedings of SPIE
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Most registration algorithms suffer from a directionality bias that has been shown to largely impact on subsequent analyses. Several approaches have been proposed in the literature to address this bias in the context of non-linear registration but little work has been done in the context of global registration. We propose a symmetric approach based on a block-matching technique and least trimmed square regression. The proposed method is suitable for multi-modal registration and is robust to outliers in the input images. The symmetric framework is compared to the original asymmetric block-matching technique, outperforming it in terms accuracy and robustness. © 2014 SPIE.
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