Memorias de investigación
Other publications:
Motion Estimation and Segmentation of Cardiac Magnetic Resonance Images using Variational and Level Set Techniques
Year:2008

Research Areas
  • Electronics engineering

Information
Abstract
A new method for motion estimation and segmentation of cardiac magnetic resonance images, based on variational and level set techniques is presented. The variational method for motion estimation is based on a total variation approach following a matrix implementation. It has been integrated with a level set method for segmenting the endocardial wall, providing a valuable tool for motion estimation and segmentation together. The results obtained have been compared with a reference method. The robustness and accuracy of these results have been proved.
International
Si
Entity
EURASIP (European Asociation for Signal Processing
Place
Lausanne, Suiza
Pages
5
Reference/URL
Proc. 16th European Signal Processing Conference (EUSIPCO-2008). http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104386.pdf
Publication type
Acta de congreso internacional
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Ingeniería Electrónica