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Erschienen in:
2006 | OriginalPaper | Buchkapitel
An Energy Minimization Approach to the Data Driven Editing of Presegmented Images/Volumes
verfasst von : Leo Grady, Gareth Funka-Lea
Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006
Verlag: Springer Berlin Heidelberg
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Fully automatic, completely reliable segmentation in medical images is an unrealistic expectation with today’s technology. However, many automatic segmentation algorithms may achieve a near-correct solution, incorrect only in a small region. For these situations, an interactive editing tool is required, ideally in 3D, that is usually left to a manual correction. We formulate the editing task as an energy minimization problem that may be solved with a modified version of either graph cuts or the random walker 3D segmentation algorithms. Both algorithms employ a seeded user interface, that may be used in this scenario for a user to seed erroneous voxels as belonging to the foreground or the background. In our formulation, it is unnecessary for the user to specify both foreground and background seeds.