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Proceedings Paper

Lymph node segmentation on CT images by a shape model guided deformable surface method
Author(s): Daniel Maleike; Michael Fabel; Ralf Tetzlaff; Hendrik von Tengg-Kobligk; Tobias Heimann; Hans-Peter Meinzer; Ivo Wolf
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Paper Abstract

With many tumor entities, quantitative assessment of lymph node growth over time is important to make therapy choices or to evaluate new therapies. The clinical standard is to document diameters on transversal slices, which is not the best measure for a volume. We present a new algorithm to segment (metastatic) lymph nodes and evaluate the algorithm with 29 lymph nodes in clinical CT images. The algorithm is based on a deformable surface search, which uses statistical shape models to restrict free deformation. To model lymph nodes, we construct an ellipsoid shape model, which strives for a surface with strong gradients and user-defined gray values. The algorithm is integrated into an application, which also allows interactive correction of the segmentation results. The evaluation shows that the algorithm gives good results in the majority of cases and is comparable to time-consuming manual segmentation. The median volume error was 10.1% of the reference volume before and 6.1% after manual correction. Integrated into an application, it is possible to perform lymph node volumetry for a whole patient within the 10 to 15 minutes time limit imposed by clinical routine.

Paper Details

Date Published: 11 March 2008
PDF: 8 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69141S (11 March 2008); doi: 10.1117/12.770352
Show Author Affiliations
Daniel Maleike, German Cancer Research Ctr. (Germany)
Michael Fabel, Univ. Hospital Schleswig-Holstein (Germany)
Ralf Tetzlaff, German Cancer Research Ctr. (Germany)
Hendrik von Tengg-Kobligk, German Cancer Research Ctr. (Germany)
Tobias Heimann, German Cancer Research Ctr. (Germany)
Hans-Peter Meinzer, German Cancer Research Ctr. (Germany)
Ivo Wolf, German Cancer Research Ctr. (Germany)

Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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