NDLI: Lymph node segmentation in CT slices using dynamic programming

Content Provider	IEEE Xplore Digital Library
Author	Steger, S. Ebert, D. Erdt, M.
Copyright Year	2011
Description	Author affiliation: Fraunhofer IGD, Department of Cognitive Computing & Medical Imaging, Fraunhoferstrasse 5, 64283 Darmstadt, Germany (Steger, S.; Ebert, D.; Erdt, M.)
Abstract	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).
Starting Page	1990
Ending Page	1993
File Size	300972
Page Count	4
File Format	PDF
ISBN	9781424441273
ISSN	19457928
DOI	10.1109/ISBI.2011.5872801
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lymph nodes Image segmentation Shape Manuals Dynamic programming Three dimensional displays Computed tomography Dynamic Programming Lymph Node Segmentation
Content Type	Text
Resource Type	Article

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