Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mezura-Montes, Efrén, Acosta-Mesa, Héctor-Gabriel, Ramírez-Garcés, Darío-del-Sinaí, Cruz-Ramírez, Nicandro, Hernández-Jiménez, Rodolfo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
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
_version_ 1782287212457492480
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
work_keys_str_mv AT mezuramontesefren animageregistrationmethodforcolposcopicimages
AT acostamesahectorgabriel animageregistrationmethodforcolposcopicimages
AT ramirezgarcesdariodelsinai animageregistrationmethodforcolposcopicimages
AT cruzramireznicandro animageregistrationmethodforcolposcopicimages
AT hernandezjimenezrodolfo animageregistrationmethodforcolposcopicimages
AT mezuramontesefren imageregistrationmethodforcolposcopicimages
AT acostamesahectorgabriel imageregistrationmethodforcolposcopicimages
AT ramirezgarcesdariodelsinai imageregistrationmethodforcolposcopicimages
AT cruzramireznicandro imageregistrationmethodforcolposcopicimages
AT hernandezjimenezrodolfo imageregistrationmethodforcolposcopicimages