In this paper, we revisit the classic FFD approach and propose a sparse representation using the principles of compressed sensing.
In this paper, we revisit the classic FFD approach and propose a sparse representation using the principles of compressed sensing. The sparse representation can ...
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Oct 22, 2024 · ... A temporal sparse free form deformation technique was used to estimate nonrigid respiratory and cardiac motion (27) . This technique yielded ...
With examples for temporal sparse free form deformation. External link: https://sites.google.com/site/trustswz/software/temporal ...
The classic FFD registration approach is revisited and a sparse representation for FFDs using the principles of compressed sensing is proposed, ...
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Nov 21, 2024 · The sparse free-form deformation model (SFFD) can capture fine local details such as motion discontinuities without sacrificing robustness. We ...
Mar 11, 2021 · Temporal sparse free-form deformation. In free-form deformation (FFD) registration, a non-rigid deformation ...
This paper presents a dynamical appearance model based on sparse representation and dictionary learning for tracking both endocardial and epicardial contours of ...
Our motion field is closer to the free-form deformation among the above deformation approaches, but differs in the representation used for the motion field.
The use of the sparsity constraint for the spatio-temporal registration of cardiac image sequences was first published in the following conference article.