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Métodos de segmentación de imágenes cardiacas: Fundamentos y alcance.

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Title: Métodos de segmentación de imágenes cardiacas: Fundamentos y alcance.
Alternate Title: Medical Imaging Segmentation Methods: Foundations and Scope.
Authors: Huérfano, Yoleidy1, Vera, Miguel2 veramig@gmail.com, Del Mar, Atilio3 atiliodelmar@yahoo.com, Chacón, José2, Vera, María1, Bautista, Nahid2, Martínez, María Sofía4, Rojas, Joselyn4,5, Contreras, Julio6, Rivas, Modesto Graterol7, Wilches, Sandra6, Aguirre, Miguel4, Cerda, Marcos6, Garicano, Carlos6, Hernández Ing, Juan Diego4, Arias, Victor6, Graterol, Rosemily7, Chacín, Maricarmen4, Peña, Armando6, Bermúdez, Valmore4
Source: Revista Latinoamericana de Hipertensión. 2015, Vol. 10 Issue 3, p77-87. 11p.
Abstract (English): Cardiac structures segmentation is a great interest issue to medical community, particularly, in cardiology since the segmentation of heart structures is useful for quantification and monitoring of cardiovascular function. Moreover, segmentation of cardiac imaging is a real challenge, because three main technical problems: 1) not rigid and complex nature of cardiac movements' production, 2) low contrast between blood fluid and cardiac tissues, and 3) the presence of artifacts and noise. For these reasons, through this work, a review of several methods for segmenting cardiac imaging by several image techniques is presented. Additionally, an approach to cardiac structures segmentation problem is displayed and cardiac segmentation methods theoretical foundations are analyzed. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): La segmentación de estructuras cardiacas es un problema de gran interés para la comunidad médica internacional y, en particular, para los especialistas en cardiología ya que la segmentación de tales estructuras es útil para la cuantifcación y el monitoreo de la función cardiovascular. Por otra parte, la segmentación de imágenes cardiacas constituye un verdadero desafío, debido a que: 1) el corazón realiza movimientos no rígidos de naturaleza compleja, 2) la presencia de bajo contraste entre el fuido sanguíneo y los tejidos que componen dichas estructuras, y 3) la presencia de artefactos y de ruido. Por estas razones, mediante el presente trabajo se presenta una revisión de los diversos métodos utilizados para la segmentación de imágenes cardiacas, en las diversas modalidades de imagenología. Adicionalmente, se presenta una aproximación al problema de segmentación de las estructuras cardiacas y se analizan los fundamentos teóricos de los métodos de segmentación más utilizados en el área médica. [ABSTRACT FROM AUTHOR]
Copyright of Revista Latinoamericana de Hipertensión is the property of Revista Latinoamericana de Hipertension and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Métodos de segmentación de imágenes cardiacas: Fundamentos y alcance.
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  Data: Medical Imaging Segmentation Methods: Foundations and Scope.
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  Data: <searchLink fieldCode="AR" term="%22Huérfano%2C+Yoleidy%22">Huérfano, Yoleidy</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Vera%2C+Miguel%22">Vera, Miguel</searchLink><relatesTo>2</relatesTo><i> veramig@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Del+Mar%2C+Atilio%22">Del Mar, Atilio</searchLink><relatesTo>3</relatesTo><i> atiliodelmar@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Chacón%2C+José%22">Chacón, José</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Vera%2C+María%22">Vera, María</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bautista%2C+Nahid%22">Bautista, Nahid</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Martínez%2C+María+Sofía%22">Martínez, María Sofía</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Rojas%2C+Joselyn%22">Rojas, Joselyn</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Contreras%2C+Julio%22">Contreras, Julio</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Rivas%2C+Modesto+Graterol%22">Rivas, Modesto Graterol</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Wilches%2C+Sandra%22">Wilches, Sandra</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Aguirre%2C+Miguel%22">Aguirre, Miguel</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Cerda%2C+Marcos%22">Cerda, Marcos</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Garicano%2C+Carlos%22">Garicano, Carlos</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Hernández+Ing%2C+Juan+Diego%22">Hernández Ing, Juan Diego</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Arias%2C+Victor%22">Arias, Victor</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Graterol%2C+Rosemily%22">Graterol, Rosemily</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Chacín%2C+Maricarmen%22">Chacín, Maricarmen</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Peña%2C+Armando%22">Peña, Armando</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Bermúdez%2C+Valmore%22">Bermúdez, Valmore</searchLink><relatesTo>4</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Revista+Latinoamericana+de+Hipertensión%22">Revista Latinoamericana de Hipertensión</searchLink>. 2015, Vol. 10 Issue 3, p77-87. 11p.
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: Cardiac structures segmentation is a great interest issue to medical community, particularly, in cardiology since the segmentation of heart structures is useful for quantification and monitoring of cardiovascular function. Moreover, segmentation of cardiac imaging is a real challenge, because three main technical problems: 1) not rigid and complex nature of cardiac movements' production, 2) low contrast between blood fluid and cardiac tissues, and 3) the presence of artifacts and noise. For these reasons, through this work, a review of several methods for segmenting cardiac imaging by several image techniques is presented. Additionally, an approach to cardiac structures segmentation problem is displayed and cardiac segmentation methods theoretical foundations are analyzed. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: La segmentación de estructuras cardiacas es un problema de gran interés para la comunidad médica internacional y, en particular, para los especialistas en cardiología ya que la segmentación de tales estructuras es útil para la cuantifcación y el monitoreo de la función cardiovascular. Por otra parte, la segmentación de imágenes cardiacas constituye un verdadero desafío, debido a que: 1) el corazón realiza movimientos no rígidos de naturaleza compleja, 2) la presencia de bajo contraste entre el fuido sanguíneo y los tejidos que componen dichas estructuras, y 3) la presencia de artefactos y de ruido. Por estas razones, mediante el presente trabajo se presenta una revisión de los diversos métodos utilizados para la segmentación de imágenes cardiacas, en las diversas modalidades de imagenología. Adicionalmente, se presenta una aproximación al problema de segmentación de las estructuras cardiacas y se analizan los fundamentos teóricos de los métodos de segmentación más utilizados en el área médica. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Revista Latinoamericana de Hipertensión is the property of Revista Latinoamericana de Hipertension and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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