Deformable models in medical image analysis: a survey

@article{McInerney1996DeformableMI,
  title={Deformable models in medical image analysis: a survey},
  author={T. McInerney and Demetri Terzopoulos},
  journal={Medical image analysis},
  year={1996},
  volume={1 2},
  pages={
          91-108
        }
}
This article surveys deformable models, a promising and vigorously researched computer-assisted medical image analysis technique. Among model-based techniques, deformable models offer a unique and powerful approach to image analysis that combines geometry, physics and approximation theory. They have proven to be effective in segmenting, matching and tracking anatomic structures by exploiting (bottom-up) constraints derived from the image data together with (top-down) a priori knowledge about… Expand
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The approach to shape parametrization and the concept of “Simulated Search” that the authors use to train boundary detection are described and it is shown how shape-constrained deformable models allow to address clinical applications in cardiology and neurology. Expand
Geodesic deformable models for medical image analysis
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A modification to the customary geodesic deformable model approach is introduced by considering all the level sets in the image as energy minimizing contours, used to segment multiple objects simultaneously and for enhancing and segmenting cardiac computed tomography (CT) and magnetic resonance images. Expand
2 PARAMETRIC CONTOUR MODEL IN MEDICAL IMAGE SEGMENTATION
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Shape-model-based adaptation of 3D deformable meshes for segmentation of medical images
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A novel segmentation approach which uses a 3D anatomical statistical shape model to initialize the adaptation process of a deformable model represented by a triangular mesh and is a promising approach for segmentation of complex anatomical structures in medical images. Expand
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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
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TLDR
A modification to the customary geodesic deformable model approach is introduced by considering all the level sets in the image as energy minimizing contours, used to segment multiple objects simultaneously and for enhancing and segmenting cardiac computed tomography (CT) and magnetic resonance images. Expand
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The problem of segmenting an image into visually sensible regions has received considerable attention. Recent techniques based on deformable models show particular promise for this problem becauseExpand
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In this paper, we address the problem of adapting the functions controlling the material properties of 2D snakes, and show how introducing oriented smoothness constraints results in a novel class ofExpand
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