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Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

I. Carlbom, T. Kapur, G. Klinker, D. Terzopoulos, L. Thurfjell
General-Purpose Soft Tissue Segmentation from Medical Images
Theory and Applications of Image Processing II - Selected contributions of the 9. Scandinavian Conference on Image Analysis (SCIA), Swedish Society for Automated Image Analysis, ed. G. Borgefors, World Scientific, July 1995. (Also in the Proc. of SCIA, Uppsala, Sweden, June 1995, S. 905-912). (bib)

Numerous techniques have been developed for biomedical image segmentation, but most methods do not perform well on a broad variety of data. We present an interactive approach to the segmentation of medical images. This approach is based on interactive deformable contours and has broad applicability to soft tissue segmentation. We describe a system, implemented in AVS, that we have applied to the segmentation of nerve cells and a human embryo heart from serial tissue sections, and the segmentation of lymph nodes from CT data.
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