Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Automatic Segmentation of Abdominal Aortic Aneurysm from Medical Images Based on Active l Appearance Models
Año:2012
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
A semi-automatic segmentation algorithm for abdominal aortic aneurysms (AAA), and based on Active Shape Models (ASM) and texture models, is presented in this work. The texture information is provided by a set of four 3D magnetic resonance (MR) images, composed of axial slices of the abdomen, where lumen, wall and intraluminal thrombus (ILT) are visible. Due to the reduced number of images in the MRI training set, an ASM and a custom texture model based on border intensity statistics are constructed. For the same reason the shape is characterized from 35-computed tomography angiography (CTA) images set so the shape variations are better represented. For the evaluation, leave-one-out experiments have been held over the four MRI set.
Internacional
Si
Nombre congreso
II SCATh Joint Workshop on New Technologies for Computer/Robot Assisted Surgery
Tipo de participación
960
Lugar del congreso
Madrid
Revisores
Si
ISBN o ISSN
978-94-6018-549-6
DOI
Fecha inicio congreso
09/07/2012
Fecha fin congreso
10/07/2012
Desde la página
5
Hasta la página
9
Título de las actas
Proceedings of the II Joint Workshop on New Technologies for Computer/Robot Assisted Surgery.
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jaime Tarjuelo Gutierrez (UPM)
  • Autor: Borja Rodríguez Vila (UPM)
  • Autor: Enrique Javier Gomez Aguilera (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Tecnología Fotónica y Bioingeniería
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