Automatic segmentation of adipose viseral tissue from CAT images, employing anatomical invariants

Ricardo Mendoza, Andrés Sánchez, Luis Felipe Uriza, Marcela Hernández Hoyos

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Metabolic syndrome and its relation with the distribution of visceral adipose tissue (VAT), has aroused great interest in the development of image processing tools for its automatic quantification. A new technique for automatic segmentation of visceral and subcutaneous adipose tissue in computerized axial tomography (CT) images, by means of assessing local anatomical invariants is presented. The assessing made by an expert of the segmented images, showed low error in the quantification of VAT tissue and a high tolerance to different anatomical configurations and other kinds of image problems.

Idioma originalInglés
Título de la publicación alojada2011 6th Colombian Computing Congress, CCC 2011
DOI
EstadoPublicada - 2011
Publicado de forma externa
Evento2011 6th Colombian Computing Congress, CCC 2011 - Manizales, Colombia
Duración: 04 may. 201106 may. 2011

Serie de la publicación

Nombre2011 6th Colombian Computing Congress, CCC 2011

Conferencia

Conferencia2011 6th Colombian Computing Congress, CCC 2011
País/TerritorioColombia
CiudadManizales
Período04/05/1106/05/11

Huella

Profundice en los temas de investigación de 'Automatic segmentation of adipose viseral tissue from CAT images, employing anatomical invariants'. En conjunto forman una huella única.

Citar esto