Ultrasound image segmentation with shape priors : application to automatic cattle rib-eye area estimation
Resumen:
Automatic ultrasound (US) image segmentation is a difficult task due to the quantity of noise present in the images and the lack of information in several zones produced by the acquisition conditions. In this paper, we propose a method that combines shape priors and image information to achieve this task. In particular, we introduce knowledge about the rib-eye shape using a set of images manually segmented by experts. A method is proposed for the automatic segmentation of new samples in which a closed curve is fitted taking into account both the US image information and the geodesic distance between the evolving curve and the estimated mean rib-eye shape in a shape space. This method can be used to solve similar problems that arise when dealing with US images in other fields. The method was successfully tested over a database composed of 610 US images, for which we have the manual segmentations of two experts.
| 2007 | |
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Rib-eye Shape priors Ultrasound (US) segmentation Procesamiento de Señales |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/38758 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522992537731072 |
|---|---|
| author | Arias, Pablo |
| author2 | Pini, Alejandro Sanguinetti, Gonzalo Sprechmann, Pablo Cancela, Pablo Fernández, Alicia Gómez, Alvaro Randall, Gregory |
| author2_role | author author author author author author author |
| author_facet | Arias, Pablo Pini, Alejandro Sanguinetti, Gonzalo Sprechmann, Pablo Cancela, Pablo Fernández, Alicia Gómez, Alvaro Randall, Gregory |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Arias, Pablo Pini, Alejandro Sanguinetti, Gonzalo Sprechmann, Pablo Cancela, Pablo Fernández, Alicia Gómez, Alvaro Randall, Gregory |
| dc.date.accessioned.none.fl_str_mv | 2023-08-01T20:33:38Z |
| dc.date.available.none.fl_str_mv | 2023-08-01T20:33:38Z |
| dc.date.issued.es.fl_str_mv | 2007 |
| dc.date.submitted.es.fl_str_mv | 20230801 |
| dc.description.abstract.none.fl_txt_mv | Automatic ultrasound (US) image segmentation is a difficult task due to the quantity of noise present in the images and the lack of information in several zones produced by the acquisition conditions. In this paper, we propose a method that combines shape priors and image information to achieve this task. In particular, we introduce knowledge about the rib-eye shape using a set of images manually segmented by experts. A method is proposed for the automatic segmentation of new samples in which a closed curve is fitted taking into account both the US image information and the geodesic distance between the evolving curve and the estimated mean rib-eye shape in a shape space. This method can be used to solve similar problems that arise when dealing with US images in other fields. The method was successfully tested over a database composed of 610 US images, for which we have the manual segmentations of two experts. |
| dc.identifier.citation.es.fl_str_mv | Arias P, Pini A, Sanguinetti G, Sprechmann P, Cancela P, Fernández A, Gómez A, Randall G. Ultrasound image segmentation with shape priors: application to automatic cattle rib-eye area estimation. IEEE Trans Image Process. 2007 no. 6, pp.1637-45. doi: 10.1109/tip.2007.896604. |
| dc.identifier.doi.es.fl_str_mv | DOI: 10.1109/TIP.2007.896604 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/38758 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | IEEE |
| dc.relation.ispartof.es.fl_str_mv | IEEE Transactions on Image Processing, 2007, v. 16, no. 6 |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| 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.es.fl_str_mv | Rib-eye Shape priors Ultrasound (US) segmentation |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | Ultrasound image segmentation with shape priors : application to automatic cattle rib-eye area estimation |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Automatic ultrasound (US) image segmentation is a difficult task due to the quantity of noise present in the images and the lack of information in several zones produced by the acquisition conditions. In this paper, we propose a method that combines shape priors and image information to achieve this task. In particular, we introduce knowledge about the rib-eye shape using a set of images manually segmented by experts. A method is proposed for the automatic segmentation of new samples in which a closed curve is fitted taking into account both the US image information and the geodesic distance between the evolving curve and the estimated mean rib-eye shape in a shape space. This method can be used to solve similar problems that arise when dealing with US images in other fields. The method was successfully tested over a database composed of 610 US images, for which we have the manual segmentations of two experts. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_49baaaf798d69bb4495a95949d291fcb |
| identifier_str_mv | Arias P, Pini A, Sanguinetti G, Sprechmann P, Cancela P, Fernández A, Gómez A, Randall G. Ultrasound image segmentation with shape priors: application to automatic cattle rib-eye area estimation. IEEE Trans Image Process. 2007 no. 6, pp.1637-45. doi: 10.1109/tip.2007.896604. DOI: 10.1109/TIP.2007.896604 |
| 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:20.500.12008/38758 |
| publishDate | 2007 |
| 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 4.0) |
| spelling | 2023-08-01T20:33:38Z2023-08-01T20:33:38Z200720230801Arias P, Pini A, Sanguinetti G, Sprechmann P, Cancela P, Fernández A, Gómez A, Randall G. Ultrasound image segmentation with shape priors: application to automatic cattle rib-eye area estimation. IEEE Trans Image Process. 2007 no. 6, pp.1637-45. doi: 10.1109/tip.2007.896604.https://hdl.handle.net/20.500.12008/38758DOI: 10.1109/TIP.2007.896604Automatic ultrasound (US) image segmentation is a difficult task due to the quantity of noise present in the images and the lack of information in several zones produced by the acquisition conditions. In this paper, we propose a method that combines shape priors and image information to achieve this task. In particular, we introduce knowledge about the rib-eye shape using a set of images manually segmented by experts. A method is proposed for the automatic segmentation of new samples in which a closed curve is fitted taking into account both the US image information and the geodesic distance between the evolving curve and the estimated mean rib-eye shape in a shape space. This method can be used to solve similar problems that arise when dealing with US images in other fields. The method was successfully tested over a database composed of 610 US images, for which we have the manual segmentations of two experts.Made available in DSpace on 2023-08-01T20:33:38Z (GMT). No. of bitstreams: 5 APSSCFGR07.pdf: 854641 bytes, checksum: 03594239752d4f03f96400abdef895d0 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 2007enengIEEEIEEE Transactions on Image Processing, 2007, v. 16, no. 6Las 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 4.0)Rib-eyeShape priorsUltrasound (US) segmentationProcesamiento de SeñalesUltrasound image segmentation with shape priors : application to automatic cattle rib-eye area estimationArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaArias, PabloPini, AlejandroSanguinetti, GonzaloSprechmann, PabloCancela, PabloFernández, AliciaGómez, AlvaroRandall, GregoryProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | Ultrasound image segmentation with shape priors : application to automatic cattle rib-eye area estimation Arias, Pablo Rib-eye Shape priors Ultrasound (US) segmentation Procesamiento de Señales |
| status_str | publishedVersion |
| title | Ultrasound image segmentation with shape priors : application to automatic cattle rib-eye area estimation |
| title_full | Ultrasound image segmentation with shape priors : application to automatic cattle rib-eye area estimation |
| title_fullStr | Ultrasound image segmentation with shape priors : application to automatic cattle rib-eye area estimation |
| title_full_unstemmed | Ultrasound image segmentation with shape priors : application to automatic cattle rib-eye area estimation |
| title_short | Ultrasound image segmentation with shape priors : application to automatic cattle rib-eye area estimation |
| title_sort | Ultrasound image segmentation with shape priors : application to automatic cattle rib-eye area estimation |
| topic | Rib-eye Shape priors Ultrasound (US) segmentation Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/38758 |
