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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),...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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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. |
format | Online Article Text |
id | pubmed-3819831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhouwu interactivemultigridrefinementfordeformableimageregistration AT xieyaoqin interactivemultigridrefinementfordeformableimageregistration |