Lymph node segmentation using active contours

David M. Honea; Yaorong Ge; Wesley E. Snyder; Paul F. Hemler; David J. Vining

doi:10.1117/12.274116

25 April 1997 Lymph node segmentation using active contours

David M. Honea, Yaorong Ge, Wesley E. Snyder, Paul F. Hemler, David J. Vining

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274116
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

Node volume analysis is very important medically. An automatic method of segmenting the node in spiral CT x-ray images is needed to produce accurate, consistent, and efficient volume measurements. The method of active contours (snakes) is proposed here as good solution to the node segmentation problem. Optimum parameterization and search strategies for using a two-dimensional snake to find node cross-sections are described, and an energy normalization scheme which preserves important spatial variations in energy is introduced. Three-dimensional segmentation is achieved without additional operator interaction by propagating the 2D results to adjacent slices. The method gives promising segmentation results on both simulated and real node images.

Citation Download Citation

David M. Honea, Yaorong Ge, Wesley E. Snyder, Paul F. Hemler, and David J. Vining "Lymph node segmentation using active contours", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274116

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