Automatic object detection using shape information in ultrasound images

Cancela, Pablo - Reyes, Fernando - Rodríguez, Pablo - Randall, Gregory - Fernández, Alicia

Resumen:

A method is presented for segmentation of anatomical structures that incorporates prior information about shape. The method iteratively applies steps, which find object's border considering its properties independently from shape. The boundary is regularized taking in account the shape being extracted. Detection is not directly performed in the image but in a "shape space" referred to the shape in each step. The problem is reduced to work in this new coordinate system where the border is approximately a horizontal line. Shape information is introduced through a higher dimensional map similar to a distance map of a mean shape. Segmentation results are demonstrated on ultrasound imagery to measure meat quality of bovine and ovine livestock.


Detalles Bibliográficos
2003
Ultrasonic imaging
Image segmentation
PROCESAMIENTO de SEÑALES
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/21243
Acceso abierto
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)
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author Cancela, Pablo
author2 Reyes, Fernando
Rodríguez, Pablo
Randall, Gregory
Fernández, Alicia
author2_role author
author
author
author
author_facet Cancela, Pablo
Reyes, Fernando
Rodríguez, Pablo
Randall, Gregory
Fernández, Alicia
author_role author
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collection COLIBRI
dc.creator.none.fl_str_mv Cancela, Pablo
Reyes, Fernando
Rodríguez, Pablo
Randall, Gregory
Fernández, Alicia
dc.date.accessioned.none.fl_str_mv 2019-07-03T16:36:10Z
dc.date.available.none.fl_str_mv 2019-07-03T16:36:10Z
dc.date.issued.es.fl_str_mv 2003
dc.date.submitted.es.fl_str_mv 20190703
dc.description.abstract.none.fl_txt_mv A method is presented for segmentation of anatomical structures that incorporates prior information about shape. The method iteratively applies steps, which find object's border considering its properties independently from shape. The boundary is regularized taking in account the shape being extracted. Detection is not directly performed in the image but in a "shape space" referred to the shape in each step. The problem is reduced to work in this new coordinate system where the border is approximately a horizontal line. Shape information is introduced through a higher dimensional map similar to a distance map of a mean shape. Segmentation results are demonstrated on ultrasound imagery to measure meat quality of bovine and ovine livestock.
dc.description.es.fl_txt_mv Trabajo presentado en International Conference on Image Processing, Barcelona, Spain, 2003.
dc.identifier.citation.es.fl_str_mv Cancela, P, Reyes, F, Rodríguez, P, Randall, G, Fernández, A. Automatic object detection using shape information in ultrasound images [Preprint] Publicado en Proceedings of the 2003 International Conference on Image Processing. Doi 10.1109/ICIP.2003.1247270
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/21243
dc.language.iso.none.fl_str_mv en
eng
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.en.fl_str_mv Ultrasonic imaging
Image segmentation
dc.subject.other.es.fl_str_mv PROCESAMIENTO de SEÑALES
dc.title.none.fl_str_mv Automatic object detection using shape information in ultrasound images
dc.type.en.fl_str_mv Preprint
dc.type.none.fl_str_mv info:eu-repo/semantics/preprint
dc.type.version.none.fl_str_mv info:eu-repo/semantics/submittedVersion
description Trabajo presentado en International Conference on Image Processing, Barcelona, Spain, 2003.
eu_rights_str_mv openAccess
format preprint
id COLIBRI_691d10fbe8114e3ae8485295295f2fc1
identifier_str_mv Cancela, P, Reyes, F, Rodríguez, P, Randall, G, Fernández, A. Automatic object detection using shape information in ultrasound images [Preprint] Publicado en Proceedings of the 2003 International Conference on Image Processing. Doi 10.1109/ICIP.2003.1247270
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str COLIBRI
network_name_str COLIBRI
oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/21243
publishDate 2003
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)
spelling 2019-07-03T16:36:10Z2019-07-03T16:36:10Z200320190703Cancela, P, Reyes, F, Rodríguez, P, Randall, G, Fernández, A. Automatic object detection using shape information in ultrasound images [Preprint] Publicado en Proceedings of the 2003 International Conference on Image Processing. Doi 10.1109/ICIP.2003.1247270https://hdl.handle.net/20.500.12008/21243Trabajo presentado en International Conference on Image Processing, Barcelona, Spain, 2003.A method is presented for segmentation of anatomical structures that incorporates prior information about shape. The method iteratively applies steps, which find object's border considering its properties independently from shape. The boundary is regularized taking in account the shape being extracted. Detection is not directly performed in the image but in a "shape space" referred to the shape in each step. The problem is reduced to work in this new coordinate system where the border is approximately a horizontal line. Shape information is introduced through a higher dimensional map similar to a distance map of a mean shape. Segmentation results are demonstrated on ultrasound imagery to measure meat quality of bovine and ovine livestock.Made available in DSpace on 2019-07-03T16:36:10Z (GMT). No. of bitstreams: 5 automatic_detection_ultrasound_cr.pdf: 2133078 bytes, checksum: ed5ef5f3671a0c3044858da05877639e (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license.txt: 4267 bytes, checksum: 6429389a7df7277b72b7924fdc7d47a9 (MD5) Previous issue date: 2003enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)Ultrasonic imagingImage segmentationPROCESAMIENTO de SEÑALESAutomatic object detection using shape information in ultrasound imagesPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaCancela, PabloReyes, FernandoRodríguez, PabloRandall, GregoryFernández, AliciaProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse
spellingShingle Automatic object detection using shape information in ultrasound images
Cancela, Pablo
Ultrasonic imaging
Image segmentation
PROCESAMIENTO de SEÑALES
status_str submittedVersion
title Automatic object detection using shape information in ultrasound images
title_full Automatic object detection using shape information in ultrasound images
title_fullStr Automatic object detection using shape information in ultrasound images
title_full_unstemmed Automatic object detection using shape information in ultrasound images
title_short Automatic object detection using shape information in ultrasound images
title_sort Automatic object detection using shape information in ultrasound images
topic Ultrasonic imaging
Image segmentation
PROCESAMIENTO de SEÑALES
url https://hdl.handle.net/20.500.12008/21243