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An Image Registration Method for Colposcopic Images
A nonrigid body image registration method for spatiotemporal alignment of image sequences obtained from colposcopy examinations to detect precancerous lesions of the cervix is proposed in this paper. The approach is based on time series calculation for those pixels in the first image of the sequence...
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/PMC3794537/ https://www.ncbi.nlm.nih.gov/pubmed/24174988 http://dx.doi.org/10.1155/2013/285962 |
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author | Mezura-Montes, Efrén Acosta-Mesa, Héctor-Gabriel Ramírez-Garcés, Darío-del-Sinaí Cruz-Ramírez, Nicandro Hernández-Jiménez, Rodolfo |
author_facet | Mezura-Montes, Efrén Acosta-Mesa, Héctor-Gabriel Ramírez-Garcés, Darío-del-Sinaí Cruz-Ramírez, Nicandro Hernández-Jiménez, Rodolfo |
author_sort | Mezura-Montes, Efrén |
collection | PubMed |
description | A nonrigid body image registration method for spatiotemporal alignment of image sequences obtained from colposcopy examinations to detect precancerous lesions of the cervix is proposed in this paper. The approach is based on time series calculation for those pixels in the first image of the sequence and a division of such image into small windows. A search process is then carried out to find the window with the highest affinity in each image of the sequence and replace it with the window in the reference image. The affinity value is based on polynomial approximation of the time series computed and the search is bounded by a search radius which defines the neighborhood of each window. The proposed approach is tested in ten 310-frame real cases in two experiments: the first one to determine the best values for the window size and the search radius and the second one to compare the best obtained results with respect to four registration methods found in the specialized literature. The obtained results show a robust and competitive performance of the proposed approach with a significant lower time with respect to the compared methods. |
format | Online Article Text |
id | pubmed-3794537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-37945372013-10-30 An Image Registration Method for Colposcopic Images Mezura-Montes, Efrén Acosta-Mesa, Héctor-Gabriel Ramírez-Garcés, Darío-del-Sinaí Cruz-Ramírez, Nicandro Hernández-Jiménez, Rodolfo Comput Math Methods Med Research Article A nonrigid body image registration method for spatiotemporal alignment of image sequences obtained from colposcopy examinations to detect precancerous lesions of the cervix is proposed in this paper. The approach is based on time series calculation for those pixels in the first image of the sequence and a division of such image into small windows. A search process is then carried out to find the window with the highest affinity in each image of the sequence and replace it with the window in the reference image. The affinity value is based on polynomial approximation of the time series computed and the search is bounded by a search radius which defines the neighborhood of each window. The proposed approach is tested in ten 310-frame real cases in two experiments: the first one to determine the best values for the window size and the search radius and the second one to compare the best obtained results with respect to four registration methods found in the specialized literature. The obtained results show a robust and competitive performance of the proposed approach with a significant lower time with respect to the compared methods. Hindawi Publishing Corporation 2013 2013-09-24 /pmc/articles/PMC3794537/ /pubmed/24174988 http://dx.doi.org/10.1155/2013/285962 Text en Copyright © 2013 Efrén Mezura-Montes 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 Mezura-Montes, Efrén Acosta-Mesa, Héctor-Gabriel Ramírez-Garcés, Darío-del-Sinaí Cruz-Ramírez, Nicandro Hernández-Jiménez, Rodolfo An Image Registration Method for Colposcopic Images |
title | An Image Registration Method for Colposcopic Images |
title_full | An Image Registration Method for Colposcopic Images |
title_fullStr | An Image Registration Method for Colposcopic Images |
title_full_unstemmed | An Image Registration Method for Colposcopic Images |
title_short | An Image Registration Method for Colposcopic Images |
title_sort | image registration method for colposcopic images |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3794537/ https://www.ncbi.nlm.nih.gov/pubmed/24174988 http://dx.doi.org/10.1155/2013/285962 |
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