Sponsor:
This study was partially supported by research projects PI09/91058, PI09/91065,ENTEPRASE PS-300000-2009-5, AMIT-CDTI, TEC2010-21619-C04 and PRECISION IPT-300000- 2010-3, from Spain’s Ministry of Science & Innovation, the project ARTEMIS Comunidad de Madrid, and with assistance from the European Regional Development Fund (FEDER).
Project:
Comunidad de Madrid. S2009/DPI-1802/ARTEMIS Gobierno de España. TEC2010-21619-C04 Gobierno de España. PI09/91058 Gobierno de España. PI09/91065 Gobierno de España. PS-300000-2009-5 Gobierno de España. IPT-300000- 2010-3
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, especialAdvanced 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.[+][-]
Description:
Proceedings of: 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Boston, MA, USA, 30 August - 03 September 2011.