Robust deformable image registration using prior shape information for atlas to patient registration

Lotta M. Ellingsen; Gouthami Chintalapani; Russell H. Taylor; Jerry L. Prince

doi:10.1016/j.compmedimag.2009.05.003

Robust deformable image registration using prior shape information for atlas to patient registration

Lotta M. Ellingsen, Gouthami Chintalapani, Russell H. Taylor, Jerry L. Prince

Whiting School of Engineering

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

Statistical atlases enable the individualization of atlas information for patient specific applications such as surgical planning. In this paper, a statistical atlas comprising a point distribution model defined on the vertices of a tetrahedral mesh is registered to a subject's computed tomography scan of the human pelvis. The approach consists of a volumetric deformable registration method augmented to maintain the topology of the atlas mesh after deformation as well as incorporating the dominant three-dimensional shape modes in the atlas. Experimental results demonstrate that incorporation of the statistical shape atlas helps to stabilize the registration and improves robustness and registration accuracy.

Original language	English (US)
Pages (from-to)	79-90
Number of pages	12
Journal	Computerized Medical Imaging and Graphics
Volume	34
Issue number	1
DOIs	https://doi.org/10.1016/j.compmedimag.2009.05.003
State	Published - Jan 2010

Keywords

Computed tomography-CT
Deformable image registration
Pelvis
Point distribution model
Principal component analysis-PCA
Prior shape information
Statistical atlas
Surgical planning
Tetrahedral mesh
Topology

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Computer Vision and Pattern Recognition
Health Informatics
Computer Graphics and Computer-Aided Design

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10.1016/j.compmedimag.2009.05.003

Cite this

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title = "Robust deformable image registration using prior shape information for atlas to patient registration",

abstract = "Statistical atlases enable the individualization of atlas information for patient specific applications such as surgical planning. In this paper, a statistical atlas comprising a point distribution model defined on the vertices of a tetrahedral mesh is registered to a subject's computed tomography scan of the human pelvis. The approach consists of a volumetric deformable registration method augmented to maintain the topology of the atlas mesh after deformation as well as incorporating the dominant three-dimensional shape modes in the atlas. Experimental results demonstrate that incorporation of the statistical shape atlas helps to stabilize the registration and improves robustness and registration accuracy.",

keywords = "Computed tomography-CT, Deformable image registration, Pelvis, Point distribution model, Principal component analysis-PCA, Prior shape information, Statistical atlas, Surgical planning, Tetrahedral mesh, Topology",

author = "Ellingsen, {Lotta M.} and Gouthami Chintalapani and Taylor, {Russell H.} and Prince, {Jerry L.}",

note = "Funding Information: This work was supported by NIH/NIBIB grant 5R21EB003616 and NSF EEC9731478. The authors would like to thank Ms. Pauline Pelletier for her assistance on manual processing of data. ",

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AU - Chintalapani, Gouthami

AU - Taylor, Russell H.

AU - Prince, Jerry L.

N1 - Funding Information: This work was supported by NIH/NIBIB grant 5R21EB003616 and NSF EEC9731478. The authors would like to thank Ms. Pauline Pelletier for her assistance on manual processing of data.

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N2 - Statistical atlases enable the individualization of atlas information for patient specific applications such as surgical planning. In this paper, a statistical atlas comprising a point distribution model defined on the vertices of a tetrahedral mesh is registered to a subject's computed tomography scan of the human pelvis. The approach consists of a volumetric deformable registration method augmented to maintain the topology of the atlas mesh after deformation as well as incorporating the dominant three-dimensional shape modes in the atlas. Experimental results demonstrate that incorporation of the statistical shape atlas helps to stabilize the registration and improves robustness and registration accuracy.

AB - Statistical atlases enable the individualization of atlas information for patient specific applications such as surgical planning. In this paper, a statistical atlas comprising a point distribution model defined on the vertices of a tetrahedral mesh is registered to a subject's computed tomography scan of the human pelvis. The approach consists of a volumetric deformable registration method augmented to maintain the topology of the atlas mesh after deformation as well as incorporating the dominant three-dimensional shape modes in the atlas. Experimental results demonstrate that incorporation of the statistical shape atlas helps to stabilize the registration and improves robustness and registration accuracy.

KW - Computed tomography-CT

KW - Deformable image registration

KW - Pelvis

KW - Point distribution model

KW - Principal component analysis-PCA

KW - Prior shape information

KW - Statistical atlas

KW - Surgical planning

KW - Tetrahedral mesh

KW - Topology

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Robust deformable image registration using prior shape information for atlas to patient registration

Abstract

Keywords

ASJC Scopus subject areas

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