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Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography

Vibro-acoustography (VA) is a new imaging modality that has been applied to both medical and industrial imaging. Integrating unique diagnostic information of VA with other medical imaging is one of our research interests. In this work, we establish correspondence between the VA images and traditiona...

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Detalles Bibliográficos
Autores principales: Hosseini, H. Gholam, Alizad, A., Fatemi, M.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1893012/
https://www.ncbi.nlm.nih.gov/pubmed/17710254
http://dx.doi.org/10.1155/2007/40980
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author Hosseini, H. Gholam
Alizad, A.
Fatemi, M.
author_facet Hosseini, H. Gholam
Alizad, A.
Fatemi, M.
author_sort Hosseini, H. Gholam
collection PubMed
description Vibro-acoustography (VA) is a new imaging modality that has been applied to both medical and industrial imaging. Integrating unique diagnostic information of VA with other medical imaging is one of our research interests. In this work, we establish correspondence between the VA images and traditional X-ray mammogram by adopting a flexible control-point selection technique for image registration. A modified second-order polynomial, which simply leads to a scale/rotation/translation invariant registration, was used. The results of registration were used to spatially transform the breast VA images to map with the X-ray mammography with a registration error of less than 1.65 mm. The fused image is defined as a linear integration of the VA and X-ray images. Moreover, a color-based fusion technique was employed to integrate the images for better visualization of structural information.
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spelling pubmed-18930122007-08-20 Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography Hosseini, H. Gholam Alizad, A. Fatemi, M. Int J Biomed Imaging Research Article Vibro-acoustography (VA) is a new imaging modality that has been applied to both medical and industrial imaging. Integrating unique diagnostic information of VA with other medical imaging is one of our research interests. In this work, we establish correspondence between the VA images and traditional X-ray mammogram by adopting a flexible control-point selection technique for image registration. A modified second-order polynomial, which simply leads to a scale/rotation/translation invariant registration, was used. The results of registration were used to spatially transform the breast VA images to map with the X-ray mammography with a registration error of less than 1.65 mm. The fused image is defined as a linear integration of the VA and X-ray images. Moreover, a color-based fusion technique was employed to integrate the images for better visualization of structural information. Hindawi Publishing Corporation 2007 2007-02-13 /pmc/articles/PMC1893012/ /pubmed/17710254 http://dx.doi.org/10.1155/2007/40980 Text en Copyright © 2007 H. Gholam Hosseini 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
Hosseini, H. Gholam
Alizad, A.
Fatemi, M.
Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography
title Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography
title_full Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography
title_fullStr Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography
title_full_unstemmed Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography
title_short Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography
title_sort integration of vibro-acoustography imaging modality with the traditional mammography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1893012/
https://www.ncbi.nlm.nih.gov/pubmed/17710254
http://dx.doi.org/10.1155/2007/40980
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