Efficient Semi-Automatic Segmentation of Liver-Tumors from CT-Scans with Interactive Refinement

Bernhard Seidl, Nikita Shevchenko, and Tim C. Lueth


Medical Image Processing, Computed Tomography, Tumor Segmentation


This article presents a fast and efficient method for segmentation of liver tumors. The main focus of attention was set to comply with limitations in terms of runtime, hardware requirements and intuitive usability by the surgeon. Therefore a simple Region-Growing approach was considered which is satisfactory for liver-metastases, a frequent disease pattern. In order to achieve a high level of reliability, automated and optimized user correction possibilities were implemented.

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