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PURPOSE Automatic, atlas-based segmentation of medical images benefits from using multiple atlases, mainly in terms of robustness. However, a large disadvantage of using multiple atlases is the large computation time that is involved in registering atlas images to the target image. This paper aims to reduce the computation load of multiatlas-based(More)
Form feature modeling is a much used shape modeling technique that offers high-level control over a shape. When a feature-based interpretation of shape data is not available, e.g. when a shape is obtained by a laser range scanner or from a database of shapes, then the features must be reconstructed through feature recognition. Many methods for the(More)
Feature modeling has simplified, improved and accelerated the Computer-Aided Design (CAD) process. However, this modeling paradigm still has some serious shortcomings. Firstly, its domain is currently restricted to regular and simple freeform shapes. Secondly, most current feature modelers do not allow new class definitions, but instead provide design with(More)
Automated segmentation is required for radiotherapy treatment planning, and multi-atlas methods are frequently used for this purpose. The combination of multiple intermediate results from multi-atlas segmentation into a single segmentation map can be achieved by label fusion. A method that includes expert knowledge in the label fusion phase of(More)