A shape-based approach to the segmentation of medical imagery using level sets.

A shape-based approach to the segmentation of medical imagery using level sets.

We propose a shape-based approach to curve evolution for the segmentation of medical images containing known object types. In particular, motivated by the work of Leventon, Grimson, and Faugeras (2000), we derive a parametric model for an implicit representation of the segmenting curve by applying p...

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Detalles Bibliográficos
Publicado en:IEEE Transactions on medical imaging 22, 2 (2003).
Autor Principal: Tsai, A.
Formato: Artigo
Idioma:English
Subjects:
Cardiac magnetic resonance imaging.
Computationally efficient algorithm.
Curve evolution.
Implicit representation.
Initial contour placements.
Level sets.
Medical imagery segmentation.
Multidimensional data.
Noise.
Object types.
Objective function.
Parametric model.
Principal component analysis.
Prostate MRI.
Segmenting curve.
Shape-based approach.
Signed distance representations.
Three-dimensional segmentation.
Topological changes.
Training data.
Two-dimensional segmentation.