A splice-guided data driven interactive editing

Image segmentation is one of the most challenging tasks in the field of image processing. Even the best automatic segmentation approaches cannot yet provide accurate segmentation in all situations. Hence, there is a persistent need for interactive editing tools to correct the automatic segmentation results such that they match what would be clinically accepted by an expert. We present an editing approach that uses a user-drawn splice (contour) in 2D to correct any 2D or 3D segmentation that may have been obtained automatically or manually. The algorithm integrates the image data, the existing segmentation (presegmentation), and the user´s input into an energy minimization framework. We will show that the proposed segmentation editing approach is general and can be used in multiple applications and for multiple imaging modalities.