Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Automatic Segmentation of Abdominal Aortic Aneurysm from Medical Images Based on Active l Appearance Models
Year:2012
Research Areas
  • Electronic technology and of the communications
Information
Abstract
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.
International
Si
Congress
II SCATh Joint Workshop on New Technologies for Computer/Robot Assisted Surgery
960
Place
Madrid
Reviewers
Si
ISBN/ISSN
978-94-6018-549-6
Start Date
09/07/2012
End Date
10/07/2012
From page
5
To page
9
Proceedings of the II Joint Workshop on New Technologies for Computer/Robot Assisted Surgery.
Participants
  • Autor: Jaime Tarjuelo Gutierrez (UPM)
  • Autor: Borja Rodríguez Vila (UPM)
  • Autor: Enrique Javier Gomez Aguilera (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Tecnología Fotónica y Bioingeniería
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