Therapeutic utility of the tumor segmentation process, applied to PET-CT images [Utilidad terapéutica: Del proceso de segmentación tumoral, aplicado a imágenes de PET-CT]
In this work findings derived from the application of radiotherapy and chemotherapy, in a patient with tumors, are identified. The tumors require of segmentation and quantification process before and after those therapies. In order to obtain the morphology of such tumors and their volumes, a computa...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | Ecuador |
| Institución: | Universidad de Cuenca |
| Repositorio: | Repositorio Universidad de Cuenca |
| OAI Identifier: | oai:dspace.ucuenca.edu.ec:123456789/29194 |
| Acceso en línea: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019156424&partnerID=40&md5=947701afde626c362ed344277fbe4e4b http://dspace.ucuenca.edu.ec/handle/123456789/29194 |
| Access Level: | acceso abierto |
| Palabra clave: | Chemotherapy Global Similarity Enhancement Non-Hodgkin’S Lymphoma Pet-Ct Radiotherapy Region Growing |
| id |
EC_c8d0c65b39c978a61e984f516ff85586 |
|---|---|
| oai_identifier_str |
oai:dspace.ucuenca.edu.ec:123456789/29194 |
| network_acronym_str |
EC |
| network_name_str |
Ecuador |
| repository_id_str |
|
| spelling |
Therapeutic utility of the tumor segmentation process, applied to PET-CT images [Utilidad terapéutica: Del proceso de segmentación tumoral, aplicado a imágenes de PET-CT]Siguencia Cruz, Wilson MarceloTorres Valdez, Maritza AuxiliadoraChemotherapyGlobal Similarity EnhancementNon-Hodgkin’S LymphomaPet-CtRadiotherapyRegion GrowingIn this work findings derived from the application of radiotherapy and chemotherapy, in a patient with tumors, are identified. The tumors require of segmentation and quantification process before and after those therapies. In order to obtain the morphology of such tumors and their volumes, a computational technique used in 3D images of positron emission tomography (PET) fused with computed tomography (CT), belonging to a pediatric patient diagnosed with non-Hodgkin lymphoma (NHL), is proposed. The proposed technique is divided into two stages: pre-processing and segmentation. The pre-processing is based on the application of a filtering process based on global enhancement similarity (GSE) to raise the quality of the information in the images. For tumors segmentation a technique based on region growing is considered. The NHL volumes derived from segmentation, are useful for both clinical monitoring lymphoma and analysis of therapeutic procedure.SOCIEDAD LATINOAMERICANA DE HIPERTENSION2018-01-11T16:47:41Z2018-01-11T16:47:41Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdf7980264https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019156424&partnerID=40&md5=947701afde626c362ed344277fbe4e4bhttp://dspace.ucuenca.edu.ec/handle/123456789/29194Archivos Venezolanos de Farmacologia y Terapeuticareponame:Repositorio Universidad de Cuencainstname:Universidad de Cuencainstacron:UCUENCAen_USinfo:eu-repo/semantics/openAccess2020-08-01T01:15:31Zoai:dspace.ucuenca.edu.ec:123456789/29194Institucionalhttp://dspace.ucuenca.edu.ec/Universidad públicahttps://www.ucuenca.edu.ec/http://dspace.ucuenca.edu.ec/oai.Ecuador...opendoar:41862020-08-01T01:15:31Repositorio Universidad de Cuenca - Universidad de Cuencafalse |
| dc.title.none.fl_str_mv |
Therapeutic utility of the tumor segmentation process, applied to PET-CT images [Utilidad terapéutica: Del proceso de segmentación tumoral, aplicado a imágenes de PET-CT] |
| title |
Therapeutic utility of the tumor segmentation process, applied to PET-CT images [Utilidad terapéutica: Del proceso de segmentación tumoral, aplicado a imágenes de PET-CT] |
| spellingShingle |
Therapeutic utility of the tumor segmentation process, applied to PET-CT images [Utilidad terapéutica: Del proceso de segmentación tumoral, aplicado a imágenes de PET-CT] Siguencia Cruz, Wilson Marcelo Chemotherapy Global Similarity Enhancement Non-Hodgkin’S Lymphoma Pet-Ct Radiotherapy Region Growing |
| title_short |
Therapeutic utility of the tumor segmentation process, applied to PET-CT images [Utilidad terapéutica: Del proceso de segmentación tumoral, aplicado a imágenes de PET-CT] |
| title_full |
Therapeutic utility of the tumor segmentation process, applied to PET-CT images [Utilidad terapéutica: Del proceso de segmentación tumoral, aplicado a imágenes de PET-CT] |
| title_fullStr |
Therapeutic utility of the tumor segmentation process, applied to PET-CT images [Utilidad terapéutica: Del proceso de segmentación tumoral, aplicado a imágenes de PET-CT] |
| title_full_unstemmed |
Therapeutic utility of the tumor segmentation process, applied to PET-CT images [Utilidad terapéutica: Del proceso de segmentación tumoral, aplicado a imágenes de PET-CT] |
| title_sort |
Therapeutic utility of the tumor segmentation process, applied to PET-CT images [Utilidad terapéutica: Del proceso de segmentación tumoral, aplicado a imágenes de PET-CT] |
| dc.creator.none.fl_str_mv |
Siguencia Cruz, Wilson Marcelo Torres Valdez, Maritza Auxiliadora |
| author |
Siguencia Cruz, Wilson Marcelo |
| author_facet |
Siguencia Cruz, Wilson Marcelo Torres Valdez, Maritza Auxiliadora |
| author_role |
author |
| author2 |
Torres Valdez, Maritza Auxiliadora |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Chemotherapy Global Similarity Enhancement Non-Hodgkin’S Lymphoma Pet-Ct Radiotherapy Region Growing |
| topic |
Chemotherapy Global Similarity Enhancement Non-Hodgkin’S Lymphoma Pet-Ct Radiotherapy Region Growing |
| description |
In this work findings derived from the application of radiotherapy and chemotherapy, in a patient with tumors, are identified. The tumors require of segmentation and quantification process before and after those therapies. In order to obtain the morphology of such tumors and their volumes, a computational technique used in 3D images of positron emission tomography (PET) fused with computed tomography (CT), belonging to a pediatric patient diagnosed with non-Hodgkin lymphoma (NHL), is proposed. The proposed technique is divided into two stages: pre-processing and segmentation. The pre-processing is based on the application of a filtering process based on global enhancement similarity (GSE) to raise the quality of the information in the images. For tumors segmentation a technique based on region growing is considered. The NHL volumes derived from segmentation, are useful for both clinical monitoring lymphoma and analysis of therapeutic procedure. |
| publishDate |
2016 |
| dc.date.none.fl_str_mv |
2016-01-01 2018-01-11T16:47:41Z 2018-01-11T16:47:41Z |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
7980264 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019156424&partnerID=40&md5=947701afde626c362ed344277fbe4e4b http://dspace.ucuenca.edu.ec/handle/123456789/29194 |
| identifier_str_mv |
7980264 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019156424&partnerID=40&md5=947701afde626c362ed344277fbe4e4b http://dspace.ucuenca.edu.ec/handle/123456789/29194 |
| dc.language.none.fl_str_mv |
en_US |
| language_invalid_str_mv |
en_US |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
SOCIEDAD LATINOAMERICANA DE HIPERTENSION |
| publisher.none.fl_str_mv |
SOCIEDAD LATINOAMERICANA DE HIPERTENSION |
| dc.source.none.fl_str_mv |
Archivos Venezolanos de Farmacologia y Terapeutica reponame:Repositorio Universidad de Cuenca instname:Universidad de Cuenca instacron:UCUENCA |
| instname_str |
Universidad de Cuenca |
| instacron_str |
UCUENCA |
| institution |
UCUENCA |
| reponame_str |
Repositorio Universidad de Cuenca |
| collection |
Repositorio Universidad de Cuenca |
| repository.name.fl_str_mv |
Repositorio Universidad de Cuenca - Universidad de Cuenca |
| repository.mail.fl_str_mv |
. |
| _version_ |
1869000071822966784 |
| score |
15,301603 |