Multi-modal ultrasound imaging for breast cancer detection

This work describes preliminary results of a two-modality imaging system aimed at the early detection of breast cancer. The first technique is based on compounding conventional echographic images taken at regular angular intervals around the imaged breast. The other modality obtains tomographic imag...

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Detalles Bibliográficos
Autores: Medina Valdés, L., Pérez Liva, Mailyn, Camacho, J., Udías Moinelo, José Manuel, Herraiz, J. L., Gonzalez Salido, N.
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/35245
Acceso en línea:https://hdl.handle.net/20.500.14352/35245
Access Level:acceso abierto
Palabra clave:539.1
Tomography
Física nuclear
2207 Física Atómica y Nuclear
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oai_identifier_str oai:docta.ucm.es:20.500.14352/35245
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network_name_str España
repository_id_str
spelling Multi-modal ultrasound imaging for breast cancer detectionMedina Valdés, L.Pérez Liva, MailynCamacho, J.Udías Moinelo, José ManuelHerraiz, J. L.Gonzalez Salido, N.539.1TomographyFísica nuclear2207 Física Atómica y NuclearThis work describes preliminary results of a two-modality imaging system aimed at the early detection of breast cancer. The first technique is based on compounding conventional echographic images taken at regular angular intervals around the imaged breast. The other modality obtains tomographic images of propagation velocity using the same circular geometry. For this study, a low-cost prototype has been built. It is based on a pair of opposed 128-element, 3.2 MHz array transducers that are mechanically moved around tissue mimicking phantoms. Compounded images around 360 degrees provide improved resolution, clutter reduction, artifact suppression and reinforce the visualization of internal structures. However, refraction at the skin interface must be corrected for an accurate image compounding process. This is achieved by estimation of the interface geometry followed by computing the internal ray paths. On the other hand, sound velocity tomographic images from time of flight projections have been also obtained. Two reconstruction methods, Filtered Back Projection (FBP) and 2D Ordered Subset Expectation Maximization (2D OSEM), were used as a first attempt towards tomographic reconstruction. These methods yield useable images in short computational times that can be considered as initial estimates in subsequent more complex methods of ultrasound image reconstruction. These images may be effective to differentiate malignant and benign masses and are very promising for breast cancer screening. (C) 2015 The Authors. Published by Elsevier B.V.Elsevier Science BVUniversidad Complutense de Madrid20152015-01-0120152015-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/35245reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 3.0 Españahttps://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/352452026-06-02T12:44:21Z
dc.title.none.fl_str_mv Multi-modal ultrasound imaging for breast cancer detection
title Multi-modal ultrasound imaging for breast cancer detection
spellingShingle Multi-modal ultrasound imaging for breast cancer detection
Medina Valdés, L.
539.1
Tomography
Física nuclear
2207 Física Atómica y Nuclear
title_short Multi-modal ultrasound imaging for breast cancer detection
title_full Multi-modal ultrasound imaging for breast cancer detection
title_fullStr Multi-modal ultrasound imaging for breast cancer detection
title_full_unstemmed Multi-modal ultrasound imaging for breast cancer detection
title_sort Multi-modal ultrasound imaging for breast cancer detection
dc.creator.none.fl_str_mv Medina Valdés, L.
Pérez Liva, Mailyn
Camacho, J.
Udías Moinelo, José Manuel
Herraiz, J. L.
Gonzalez Salido, N.
author Medina Valdés, L.
author_facet Medina Valdés, L.
Pérez Liva, Mailyn
Camacho, J.
Udías Moinelo, José Manuel
Herraiz, J. L.
Gonzalez Salido, N.
author_role author
author2 Pérez Liva, Mailyn
Camacho, J.
Udías Moinelo, José Manuel
Herraiz, J. L.
Gonzalez Salido, N.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 539.1
Tomography
Física nuclear
2207 Física Atómica y Nuclear
topic 539.1
Tomography
Física nuclear
2207 Física Atómica y Nuclear
description This work describes preliminary results of a two-modality imaging system aimed at the early detection of breast cancer. The first technique is based on compounding conventional echographic images taken at regular angular intervals around the imaged breast. The other modality obtains tomographic images of propagation velocity using the same circular geometry. For this study, a low-cost prototype has been built. It is based on a pair of opposed 128-element, 3.2 MHz array transducers that are mechanically moved around tissue mimicking phantoms. Compounded images around 360 degrees provide improved resolution, clutter reduction, artifact suppression and reinforce the visualization of internal structures. However, refraction at the skin interface must be corrected for an accurate image compounding process. This is achieved by estimation of the interface geometry followed by computing the internal ray paths. On the other hand, sound velocity tomographic images from time of flight projections have been also obtained. Two reconstruction methods, Filtered Back Projection (FBP) and 2D Ordered Subset Expectation Maximization (2D OSEM), were used as a first attempt towards tomographic reconstruction. These methods yield useable images in short computational times that can be considered as initial estimates in subsequent more complex methods of ultrasound image reconstruction. These images may be effective to differentiate malignant and benign masses and are very promising for breast cancer screening. (C) 2015 The Authors. Published by Elsevier B.V.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01
2015
2015-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/35245
url https://hdl.handle.net/20.500.14352/35245
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
https://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
https://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier Science BV
publisher.none.fl_str_mv Elsevier Science BV
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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