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Interactive Multigrid Refinement for Deformable Image Registration

Deformable image registration is the spatial mapping of corresponding locations between images and can be used for important applications in radiotherapy. Although numerous methods have attempted to register deformable medical images automatically, such as salient-feature-based registration (SFBR),...

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Detalles Bibliográficos
Autores principales: Zhou, Wu, Xie, Yaoqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819831/
https://www.ncbi.nlm.nih.gov/pubmed/24232828
http://dx.doi.org/10.1155/2013/532936
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author Zhou, Wu
Xie, Yaoqin
author_facet Zhou, Wu
Xie, Yaoqin
author_sort Zhou, Wu
collection PubMed
description Deformable image registration is the spatial mapping of corresponding locations between images and can be used for important applications in radiotherapy. Although numerous methods have attempted to register deformable medical images automatically, such as salient-feature-based registration (SFBR), free-form deformation (FFD), and demons, no automatic method for registration is perfect, and no generic automatic algorithm has shown to work properly for clinical applications due to the fact that the deformation field is often complex and cannot be estimated well by current automatic deformable registration methods. This paper focuses on how to revise registration results interactively for deformable image registration. We can manually revise the transformed image locally in a hierarchical multigrid manner to make the transformed image register well with the reference image. The proposed method is based on multilevel B-spline to interactively revise the deformable transformation in the overlapping region between the reference image and the transformed image. The resulting deformation controls the shape of the transformed image and produces a nice registration or improves the registration results of other registration methods. Experimental results in clinical medical images for adaptive radiotherapy demonstrated the effectiveness of the proposed method.
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spelling pubmed-38198312013-11-14 Interactive Multigrid Refinement for Deformable Image Registration Zhou, Wu Xie, Yaoqin Biomed Res Int Research Article Deformable image registration is the spatial mapping of corresponding locations between images and can be used for important applications in radiotherapy. Although numerous methods have attempted to register deformable medical images automatically, such as salient-feature-based registration (SFBR), free-form deformation (FFD), and demons, no automatic method for registration is perfect, and no generic automatic algorithm has shown to work properly for clinical applications due to the fact that the deformation field is often complex and cannot be estimated well by current automatic deformable registration methods. This paper focuses on how to revise registration results interactively for deformable image registration. We can manually revise the transformed image locally in a hierarchical multigrid manner to make the transformed image register well with the reference image. The proposed method is based on multilevel B-spline to interactively revise the deformable transformation in the overlapping region between the reference image and the transformed image. The resulting deformation controls the shape of the transformed image and produces a nice registration or improves the registration results of other registration methods. Experimental results in clinical medical images for adaptive radiotherapy demonstrated the effectiveness of the proposed method. Hindawi Publishing Corporation 2013 2013-10-22 /pmc/articles/PMC3819831/ /pubmed/24232828 http://dx.doi.org/10.1155/2013/532936 Text en Copyright © 2013 W. Zhou and Y. Xie. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhou, Wu
Xie, Yaoqin
Interactive Multigrid Refinement for Deformable Image Registration
title Interactive Multigrid Refinement for Deformable Image Registration
title_full Interactive Multigrid Refinement for Deformable Image Registration
title_fullStr Interactive Multigrid Refinement for Deformable Image Registration
title_full_unstemmed Interactive Multigrid Refinement for Deformable Image Registration
title_short Interactive Multigrid Refinement for Deformable Image Registration
title_sort interactive multigrid refinement for deformable image registration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819831/
https://www.ncbi.nlm.nih.gov/pubmed/24232828
http://dx.doi.org/10.1155/2013/532936
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