Shape recovery algorithms using level sets in 2-D a state-of-the-art review.

Shape recovery algorithms using level sets in 2-D a state-of-the-art review.

The class of geometric deformable models, also known as level sets, has brought tremendous impact to medical imagery due to its capability of topology preservation and fast shape recovery. In an effort to facilitate a clear and full understanding of these powerful state-of-the-art applied mathematic...

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Pubblicato in:IEEE Transactions on information technology in biomedicine 6, 1 (2002).
Autore principale: Suri, J.S
Natura: Articolo
Lingua:English
Soggetti:
2D medical imagery.
3D medical imagery.
Bayesian bidirectional classifier-based regularizers.
MRI.
Clustering-based regularizers.
Coupled constrained-based regularizers.
Curve/surface evolution.
Geometric deformable models.
Level sets.
Neurological image analysis.
Shape recovery algorithms.
Shape-based regularizers.
Topology preservation.