Memorias de investigación
Communications at congresses:
Optimal Multiresolution 3D Level-Set Method for Liver Segmentation incorporating Local Curvature Constraints
Year:2011

Research Areas
  • Medical equipment,
  • Electronic technology and of the communications,
  • Electronics engineering

Information
Abstract
Advanced liver surgery requires a precise preoperative planning, where liver segmentation and remnant liver volume are key elements to avoid post-operative liver failure. In that context, level-set algorithms have achieved better results than others, especially with altered liver parenchyma or in cases with previous surgery. In order to improve functional liver parenchyma volume measurements, in this work we propose two strategies to enhance previous levelset algorithms: an optimal multi-resolution strategy with fine details correction and adaptive curvature, as well as an additional semiautomatic step imposing local curvature constraints. Results show more accurate segmentations, especially in elongated structures, detecting internal lesions and avoiding leakages to close structures.
International
Si
Congress
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011)
960
Place
Boston, MA USA
Reviewers
Si
ISBN/ISSN
1557-170X
10.1109/IEMBS.2011.6090925
Start Date
30/08/2011
End Date
03/09/2011
From page
3419
To page
3422
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011)
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