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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Main Authors: Guillaume Janssens, Laurent Jacques, Jonathan Orban de Xivry, Xavier Geets, Benoit Macq
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2011/891585
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author Guillaume Janssens
Laurent Jacques
Jonathan Orban de Xivry
Xavier Geets
Benoit Macq
author_facet Guillaume Janssens
Laurent Jacques
Jonathan Orban de Xivry
Xavier Geets
Benoit Macq
author_sort Guillaume Janssens
collection DOAJ
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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institution Kabale University
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publishDate 2011-01-01
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series International Journal of Biomedical Imaging
spelling doaj-art-8aa9860a0ec441d6aff902f6b444e47f2025-02-03T05:51:09ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962011-01-01201110.1155/2011/891585891585Diffeomorphic Registration of Images with Variable Contrast EnhancementGuillaume Janssens0Laurent Jacques1Jonathan Orban de Xivry2Xavier Geets3Benoit Macq4Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Universitè Catholique de Louvain (UCL), 1348 Louvain-la-Neuve, BelgiumInstitute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Universitè Catholique de Louvain (UCL), 1348 Louvain-la-Neuve, BelgiumInstitute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Universitè Catholique de Louvain (UCL), 1348 Louvain-la-Neuve, BelgiumDepartment of Radiation Oncology and Laboratory of Radiobiology and Radiation Protection (RBNT), Universitè Catholique de Louvain (UCL), 1200 Brussels, BelgiumInstitute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Universitè Catholique de Louvain (UCL), 1348 Louvain-la-Neuve, BelgiumNonrigid 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.http://dx.doi.org/10.1155/2011/891585
spellingShingle Guillaume Janssens
Laurent Jacques
Jonathan Orban de Xivry
Xavier Geets
Benoit Macq
Diffeomorphic Registration of Images with Variable Contrast Enhancement
International Journal of Biomedical Imaging
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
url http://dx.doi.org/10.1155/2011/891585
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AT laurentjacques diffeomorphicregistrationofimageswithvariablecontrastenhancement
AT jonathanorbandexivry diffeomorphicregistrationofimageswithvariablecontrastenhancement
AT xaviergeets diffeomorphicregistrationofimageswithvariablecontrastenhancement
AT benoitmacq diffeomorphicregistrationofimageswithvariablecontrastenhancement