Omnidirectional displacements for deformable surfaces
Omnidirectional displacements for deformable surfaces
Deformable surface models are often represented as triangular meshes in image segmentation applications. For a fast and easily regularized deformation onto the target object boundary, the vertices of the mesh are commonly moved along line segments (typically surface normals). However, in case of high mesh curvature, these lines may not intersect with the target boundary at all. Consequently, certain deformations cannot be achieved. We propose omnidirectional displacements for deformable surfaces (ODDS) to overcome this limitation. ODDS allow each vertex to move not only along a line segment but within the volumetric inside of a surrounding sphere, and achieve globally optimal deformations subject to local regularization constraints. However, allowing a ball-shaped instead of a linear range of motion per vertex significantly increases runtime and memory. To alleviate this drawback, we propose a hybrid approach, fastODDS, with improved runtime and reduced memory requirements. Furthermore, fastODDS can also cope with simultaneous segmentation of multiple objects. We show the theoretical benefits of ODDS with experiments on synthetic data, and evaluate ODDS and fastODDS quantitatively on clinical image data of the mandible and the hip bones. There, we assess both the global segmentation accuracy as well as local accuracy in high curvature regions, such as the tip-shaped mandibular coronoid processes and the ridge-shaped acetabular rims of the hip bones
segmentation, deformable surfaces, markov random field, mandible, acetabulum
429-441
Kainmueller, Dagmar
a9962196-0e29-4040-a629-3a1e70722543
Lamecker, Hans
e3045683-3ead-414b-aaef-6ef5d292ca0f
Heller, Markus O.
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Weber, Britta
daa4516f-967c-41fa-a7f3-afc4973acef1
Hege, Hans-Christian
15f283e0-9d47-43e5-82c8-f787e71eb169
Zachow, Stefan
d3361c36-1a25-4c80-b246-58d9b0a6bdad
May 2013
Kainmueller, Dagmar
a9962196-0e29-4040-a629-3a1e70722543
Lamecker, Hans
e3045683-3ead-414b-aaef-6ef5d292ca0f
Heller, Markus O.
3da19d2a-f34d-4ff1-8a34-9b5a7e695829
Weber, Britta
daa4516f-967c-41fa-a7f3-afc4973acef1
Hege, Hans-Christian
15f283e0-9d47-43e5-82c8-f787e71eb169
Zachow, Stefan
d3361c36-1a25-4c80-b246-58d9b0a6bdad
Kainmueller, Dagmar, Lamecker, Hans, Heller, Markus O., Weber, Britta, Hege, Hans-Christian and Zachow, Stefan
(2013)
Omnidirectional displacements for deformable surfaces.
Medical Image Analysis, 17 (4), .
(doi:10.1016/j.media.2012.11.006).
(PMID:23523192)
Abstract
Deformable surface models are often represented as triangular meshes in image segmentation applications. For a fast and easily regularized deformation onto the target object boundary, the vertices of the mesh are commonly moved along line segments (typically surface normals). However, in case of high mesh curvature, these lines may not intersect with the target boundary at all. Consequently, certain deformations cannot be achieved. We propose omnidirectional displacements for deformable surfaces (ODDS) to overcome this limitation. ODDS allow each vertex to move not only along a line segment but within the volumetric inside of a surrounding sphere, and achieve globally optimal deformations subject to local regularization constraints. However, allowing a ball-shaped instead of a linear range of motion per vertex significantly increases runtime and memory. To alleviate this drawback, we propose a hybrid approach, fastODDS, with improved runtime and reduced memory requirements. Furthermore, fastODDS can also cope with simultaneous segmentation of multiple objects. We show the theoretical benefits of ODDS with experiments on synthetic data, and evaluate ODDS and fastODDS quantitatively on clinical image data of the mandible and the hip bones. There, we assess both the global segmentation accuracy as well as local accuracy in high curvature regions, such as the tip-shaped mandibular coronoid processes and the ridge-shaped acetabular rims of the hip bones
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e-pub ahead of print date: December 2012
Published date: May 2013
Keywords:
segmentation, deformable surfaces, markov random field, mandible, acetabulum
Organisations:
Bioengineering Group
Identifiers
Local EPrints ID: 348535
URI: http://eprints.soton.ac.uk/id/eprint/348535
ISSN: 1361-8415
PURE UUID: 6caff720-0355-47c5-8a3f-18b8a9c88e70
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Date deposited: 14 Feb 2013 14:43
Last modified: 15 Mar 2024 03:43
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Author:
Dagmar Kainmueller
Author:
Hans Lamecker
Author:
Britta Weber
Author:
Hans-Christian Hege
Author:
Stefan Zachow
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