Memorias de investigación
Communications at congresses:
Liver segmentation for hepatic lesions detection and characterisation
Year:2008
Research Areas
  • Mathematics,
  • Automatic
Information
Abstract
The detection and characterisation of hepatic lesions is fundamental in clinical practice, from the diagnosis stages to the evolution of the therapeutic response. Hepatic magnetic resonance is a usual practice in the localization and quantification of lesions. Automatic segmentation of the liver is illustrated in T1 weighted images. This task is necessary for detecting the lesions. The proposed liver segmentation is based on 3D anisotropic diffusion processing without any control parameter. Combinations of edge detection techniques, histogram analysis, morphological post-processing and evolution of an active contour have been applied to the liver segmentation. The active contour evolution is based on the minimization of variances in luminance between the liver and its closest neighbourhood.
International
Si
Congress
5th IEEE International Symposium on Biomedical Imaging - From Nano to Macro
960
Place
Paris (Francia)
Reviewers
Si
ISBN/ISSN
978-1-4244-2002-5
Start Date
14/05/2008
End Date
17/05/2008
From page
13
To page
16
2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Bioingeniería Aplicada
  • Departamento: Electrónica, Automática e Informática Industrial
  • Departamento: Matemática Aplicada (E.U.I.T. Industrial)