Convolution-based free-form deformation for multimodal groupwise registration
Recently, an efficient implementation of convolution-based free form deformations (FFD) has been proposed for both groupwise 3D monomodal and 2D pairwise multimodal registrations. However, there is still an unmet need in the field for groupwise L-D multimodal registration with L≥2. In this correspon...
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Veröffentlicht in: | Signal processing 2023-09, Vol.210, p.109093, Article 109093 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Recently, an efficient implementation of convolution-based free form deformations (FFD) has been proposed for both groupwise 3D monomodal and 2D pairwise multimodal registrations. However, there is still an unmet need in the field for groupwise L-D multimodal registration with L≥2. In this correspondence, we address this need and present a solution for achieving accurate registration using two popular metrics: Renyi entropy and PCA2. |
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ISSN: | 0165-1684 1872-7557 |
DOI: | 10.1016/j.sigpro.2023.109093 |