Shape Constrained Deformable Models for 3D Medical Image Segmentation

To improve the robustness of segmentation methods, more and more methods use prior knowledge. We present an approach which embeds an active shape model into an elastically deformable surface model, and combines the advantages of both approaches. The shape model constrains the flexibility of the surf...

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Hauptverfasser:	Weese, Jürgen, Kaus, Michael, Lorenz, Christian, Lobregt, Steven, Truyen, Roel, Pekar, Vladimir
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Biological and medical sciences Investigative techniques, diagnostic techniques (general aspects) Medical sciences Miscellaneous. Technology Radiodiagnosis. Nmr imagery. Nmr spectrometry
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creator	Weese, Jürgen Kaus, Michael Lorenz, Christian Lobregt, Steven Truyen, Roel Pekar, Vladimir
description	To improve the robustness of segmentation methods, more and more methods use prior knowledge. We present an approach which embeds an active shape model into an elastically deformable surface model, and combines the advantages of both approaches. The shape model constrains the flexibility of the surface mesh representing the deformable model and maintains an optimal distribution of mesh vertices. A specific external energy which attracts the deformable model to locally detected surfaces, reduces the danger that the mesh is trapped by false object boundaries. Examples are shown, and furthermore a validation study for the segmentation of vertebrae in CT images is presented. With the exception of a few problematic areas, the algorithm leads reliably to a very good overall segmentation.
doi_str_mv	10.1007/3-540-45729-1_38
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We present an approach which embeds an active shape model into an elastically deformable surface model, and combines the advantages of both approaches. The shape model constrains the flexibility of the surface mesh representing the deformable model and maintains an optimal distribution of mesh vertices. A specific external energy which attracts the deformable model to locally detected surfaces, reduces the danger that the mesh is trapped by false object boundaries. Examples are shown, and furthermore a validation study for the segmentation of vertebrae in CT images is presented. 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subjects	Biological and medical sciences Investigative techniques, diagnostic techniques (general aspects) Medical sciences Miscellaneous. Technology Radiodiagnosis. Nmr imagery. Nmr spectrometry
title	Shape Constrained Deformable Models for 3D Medical Image Segmentation
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