Fully Automatic Liver Segmentation through Graph-Cut Technique

The accurate knowledge of the liver structure including blood vessels topography, liver surface and lesion localizations is usually required in treatments like liver ablations and radiotherapy. In this paper, we propose an approach for automatic segmentation of liver complex geometries. It consists...

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Published in:2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2007-01, p.5243-5246
Main Authors: Massoptier, L., Casciaro, S.
Format: Article
Language:English
Subjects:
Active contours
automatic segmentation
Biomedical imaging
Cancer
Computed tomography
graph-cut
Image segmentation
liver
Liver neoplasms
Physiology
Surface morphology
Surface topography
Surgery
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Casciaro, S.
description The accurate knowledge of the liver structure including blood vessels topography, liver surface and lesion localizations is usually required in treatments like liver ablations and radiotherapy. In this paper, we propose an approach for automatic segmentation of liver complex geometries. It consists of applying a graph-cut method initialized by an adaptive threshold. The algorithm has been tested on 10 datasets (CT and MR). A parametric comparison with the results obtained by previous algorithms based on active contour is also carried out and discussed. Main limitations of active contour approaches result to be overcome and segmentation is improved. Feasibility to routinely use graph-cut approach for automatic liver segmentation is also demonstrated.
doi_str_mv 10.1109/IEMBS.2007.4353524
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subjects Active contours
automatic segmentation
Biomedical imaging
Cancer
Computed tomography
graph-cut
Image segmentation
liver
Liver neoplasms
Physiology
Surface morphology
Surface topography
Surgery
title Fully Automatic Liver Segmentation through Graph-Cut Technique
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