Publication:
Optimal multiresolution 3D level-set method for liver segmentation incorporating local curvature constraints

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URI: http://hdl.handle.net/10016/20133
ISSN: 1557-170X
ISBN: 978-1-4244-4122-8 (online)
ISBN: 978-1-4244-4121-1 (print)
DOI: 10.1109/IEMBS.2011.6090925
UXXI: CC/0000016164
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optimal_EMBC_2011_ps.pdf (1.02 MB)
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2011
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Ieee - The Institute Of Electrical And Electronics Engineers, Inc
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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.
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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.
Keywords
Biomedical measurement, Curvature measurement, Image resolution, Image segmentation, Liver, Medical image processing, Optimisation, Volume measurement, surgery
Bibliographic citation
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) (2011). IEEE, 3419-3422.
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