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Lymph node segmentation in CT slices using dynamic programming

: Steger, Sebastian; Ebert, Daniel; Erdt, Marius


IEEE Engineering in Medicine and Biology Society -EMBS-; IEEE Signal Processing Society:
IEEE International Symposium on Biomedical Imaging. From Nano to Macro, ISBI 2011 : 30 March - 2 April 2011, Chicago, Illinois
New York, NY: IEEE, 2011
ISBN: 978-1-4244-4128-0
ISBN: 978-1-4244-4127-3
ISSN: 1945-7936
International Symposium on Biomedical Imaging (ISBI) <8, 2011, Chicago/Ill.>
Conference Paper
Fraunhofer IGD ()
dynamic programming; medical image processing; segmentation

An automatically extracted 2d contour of a lymph node in a single CT slice is required for size assessment as well as for the initialization of model based 3d lymph node segmentation algorithms. This paper presents a novel single slice lymph node segmentation approach. It finds a closed path around a seed point thereby minimizing an energy function which depends on gradients, intensities and shape priors. A globally optimal solution is guaranteed to be found using dynamic programming.
The approach is evaluated on a set of 49 representative lymph nodes from clinical images for which manual expert segmentation is available. The resulting average dice similarity coefficient of 0.81 is close to manual segmentation (0.89).