Optimal Multiresolution 3D Level-Set Method for Liver Segmentation incorporating Local Curvature Constraints

Jimenez Carretero, Daniel and Fernández de Manuel, Laura and Pascau González-Garzón, Javier and Tellado, Jose M. and Ramon, Enrique and Desco, Manuel and Santos Lleo, Andres de and Ledesma Carbayo, María Jesús (2011). Optimal Multiresolution 3D Level-Set Method for Liver Segmentation incorporating Local Curvature Constraints. In: "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society,EMBC", 30/08/2011 - 03/09/2011, Boston, MA USA. ISBN 978-1-4244-4121-1.

Description

Title: Optimal Multiresolution 3D Level-Set Method for Liver Segmentation incorporating Local Curvature Constraints
Author/s:
  • Jimenez Carretero, Daniel
  • Fernández de Manuel, Laura
  • Pascau González-Garzón, Javier
  • Tellado, Jose M.
  • Ramon, Enrique
  • Desco, Manuel
  • Santos Lleo, Andres de
  • Ledesma Carbayo, María Jesús
Item Type: Presentation at Congress or Conference (Article)
Event Title: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society,EMBC
Event Dates: 30/08/2011 - 03/09/2011
Event Location: Boston, MA USA
Title of Book: Proceedings of 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society,EMBC
Date: 2011
ISBN: 978-1-4244-4121-1
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Advanced liver surgery requires a precise pre-operative 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 level-set 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

More information

Item ID: 12042
DC Identifier: http://oa.upm.es/12042/
OAI Identifier: oai:oa.upm.es:12042
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6090925
Deposited by: Memoria Investigacion
Deposited on: 17 Sep 2012 10:33
Last Modified: 21 Apr 2016 11:12
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