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Diffeomorphic Registration of Images with Variable Contrast Enhancement

Nonrigid image registration is widely used to estimate tissue deformations in highly deformable anatomies. Among the existing methods, nonparametric registration algorithms such as optical flow, or Demons, usually have the advantage of being fast and easy to use. Recently, a diffeomorphic version of...

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Detalles Bibliográficos
Autores principales: Janssens, Guillaume, Jacques, Laurent, Orban de Xivry, Jonathan, Geets, Xavier, Macq, Benoit
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3005125/
https://www.ncbi.nlm.nih.gov/pubmed/21197460
http://dx.doi.org/10.1155/2011/891585
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author Janssens, Guillaume
Jacques, Laurent
Orban de Xivry, Jonathan
Geets, Xavier
Macq, Benoit
author_facet Janssens, Guillaume
Jacques, Laurent
Orban de Xivry, Jonathan
Geets, Xavier
Macq, Benoit
author_sort Janssens, Guillaume
collection PubMed
description Nonrigid image registration is widely used to estimate tissue deformations in highly deformable anatomies. Among the existing methods, nonparametric registration algorithms such as optical flow, or Demons, usually have the advantage of being fast and easy to use. Recently, a diffeomorphic version of the Demons algorithm was proposed. This provides the advantage of producing invertible displacement fields, which is a necessary condition for these to be physical. However, such methods are based on the matching of intensities and are not suitable for registering images with different contrast enhancement. In such cases, a registration method based on the local phase like the Morphons has to be used. In this paper, a diffeomorphic version of the Morphons registration method is proposed and compared to conventional Morphons, Demons, and diffeomorphic Demons. The method is validated in the context of radiotherapy for lung cancer patients on several 4D respiratory-correlated CT scans of the thorax with and without variable contrast enhancement.
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spelling pubmed-30051252010-12-30 Diffeomorphic Registration of Images with Variable Contrast Enhancement Janssens, Guillaume Jacques, Laurent Orban de Xivry, Jonathan Geets, Xavier Macq, Benoit Int J Biomed Imaging Research Article Nonrigid image registration is widely used to estimate tissue deformations in highly deformable anatomies. Among the existing methods, nonparametric registration algorithms such as optical flow, or Demons, usually have the advantage of being fast and easy to use. Recently, a diffeomorphic version of the Demons algorithm was proposed. This provides the advantage of producing invertible displacement fields, which is a necessary condition for these to be physical. However, such methods are based on the matching of intensities and are not suitable for registering images with different contrast enhancement. In such cases, a registration method based on the local phase like the Morphons has to be used. In this paper, a diffeomorphic version of the Morphons registration method is proposed and compared to conventional Morphons, Demons, and diffeomorphic Demons. The method is validated in the context of radiotherapy for lung cancer patients on several 4D respiratory-correlated CT scans of the thorax with and without variable contrast enhancement. Hindawi Publishing Corporation 2011 2010-12-08 /pmc/articles/PMC3005125/ /pubmed/21197460 http://dx.doi.org/10.1155/2011/891585 Text en Copyright © 2011 Guillaume Janssens et al. 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
Janssens, Guillaume
Jacques, Laurent
Orban de Xivry, Jonathan
Geets, Xavier
Macq, Benoit
Diffeomorphic Registration of Images with Variable Contrast Enhancement
title Diffeomorphic Registration of Images with Variable Contrast Enhancement
title_full Diffeomorphic Registration of Images with Variable Contrast Enhancement
title_fullStr Diffeomorphic Registration of Images with Variable Contrast Enhancement
title_full_unstemmed Diffeomorphic Registration of Images with Variable Contrast Enhancement
title_short Diffeomorphic Registration of Images with Variable Contrast Enhancement
title_sort diffeomorphic registration of images with variable contrast enhancement
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3005125/
https://www.ncbi.nlm.nih.gov/pubmed/21197460
http://dx.doi.org/10.1155/2011/891585
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