RT Conference Proceedings
T1 Optimal multiresolution 3D level-set method for liver segmentation incorporating local curvature constraints
A1 Jiménez Carretero, Daniel
A1 Fernández de Manuel, Laura
A1 Pascau González-Garzón, Javier
A1 Tellado, José M.
A1 Ramón, Enrique
A1 Desco Menéndez, Manuel
A1 Santos, Andrés
A1 Ledesma Carbayo, María Jesús
AB 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.
PB Ieee - The Institute Of Electrical And Electronics Engineers, Inc
SN 978-1-4244-4122-8 (online)
SN 978-1-4244-4121-1 (print)
SN 1557-170X
YR 2011
FD 2011
LK https://hdl.handle.net/10016/20133
UL https://hdl.handle.net/10016/20133
LA eng
NO 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.
NO 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).
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RD 1 may. 2024