Shi W, Jantsch M, Aljabar P, Pizarro L, Bai W, Wang H, O'Regan D, Zhuang X, Rueckert D (2013)
Publication Type: Journal article
Publication year: 2013
Book Volume: 17
Pages Range: 779-789
Journal Issue: 7
DOI: 10.1016/j.media.2013.04.010
FFD represent a widely used model for the non-rigid registration of medical images. The balance between robustness to noise and accuracy in modelling localised motion is typically controlled by the control point grid spacing and the amount of regularisation. More recently, TFFD have been proposed which extend the FFD approach in order to recover smooth motion from temporal image sequences. In this paper, we revisit the classic FFD approach and propose a sparse representation using the principles of compressed sensing. The sparse representation can model both global and local motion accurately and robustly. We view the registration as a deformation reconstruction problem. The deformation is reconstructed from a pair of images (or image sequences) with a sparsity constraint applied to the parametric space. Specifically, we introduce sparsity into the deformation via L
APA:
Shi, W., Jantsch, M., Aljabar, P., Pizarro, L., Bai, W., Wang, H.,... Rueckert, D. (2013). Temporal sparse free-form deformations. Medical Image Analysis, 17(7), 779-789. https://doi.org/10.1016/j.media.2013.04.010
MLA:
Shi, Wenzhe, et al. "Temporal sparse free-form deformations." Medical Image Analysis 17.7 (2013): 779-789.
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