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Deformable models in medical image analysis: a survey
TLDR
The rapidly expanding body of work on the development and application of deformable models to problems of fundamental importance in medical image analysis, including segmentation, shape representation, matching and motion tracking is reviewed. Expand
T-snakes: Topology adaptive snakes
TLDR
The 'snakes in ACID' framework significantly extends conventional snakes, enabling topological flexibility among other features and can be used to segment some of the most complex-shaped biological structures from medical images in an efficient and highly automated manner. Expand
Topology adaptive deformable surfaces for medical image volume segmentation
TLDR
The authors develop a new class of deformable models by formulating deformable surfaces in terms of an affine cell image decomposition (ACID) that can effectively segment complex anatomic structures from medical volume images. Expand
Topologically adaptable snakes
TLDR
A typologically adaptable snakes model for image segmentation and object representation embedded in the framework of domain subdivision using simplicial decomposition, which extends the geometric and topological adaptability of snakes while retaining all of the features of traditional snake while overcoming many of the limitations of traditional snakes. Expand
A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to cardiac 4D image analysis.
TLDR
A physics-based approach to anatomical surface segmentation, reconstruction, and tracking in multidimensional medical images using a dynamic "balloon" model--a spherical thin-plate under tension surface spline which deforms elastically to fit the image data. Expand
Deformable models in medical image analysis
TLDR
The rapidly expanding body of work on the development and application of deformable models to problems of fundamental importance in medical image analysis, including segmentation, shape representation, matching, and motion tracking is reviewed. Expand
Medical image segmentation using topologically adaptable surfaces
TLDR
ACD-based deformable surfaces are described and their potential for extracting and reconstructing some of the most complex biological structures from medical image volumes is demonstrated. Expand
Deformable organisms for automatic medical image analysis
TLDR
A new approach to medical image analysis that combines deformable model methodologies with concepts from the field of artificial life is introduced, including a "corpus callosum worm" that can overcome noise, incomplete edges, considerable anatomical variation, and interference from collateral structures to segment and label the corpusCallosum in 2D mid-sagittal MR brain images. Expand
United Snakes
TLDR
It is demonstrated that snakes and livewire have complementary strengths and that their union offers a more powerful tool for interactive image analysis, especially for medical imaging applications. Expand
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