Calgary Scientific Inc.

Mike Roberts

Joseph Ross Mitchell

Mario Costa Sousa

Mario Costa-Sousa

A method for segmenting a volume dataset is provided. During initialization a level set field within a volume dataset is initialized and an initial set of active voxels is determined in dependence upon the initialized level set field. In an iteration process the level set field for the set of active voxels is updated followed by updating of the set of active voxels. The iteration is continued until the number of active voxels is less than a predetermined threshold. Level set segmentation data are then determined in dependence upon the level set field and provided for, for example, graphical display or storage.

Level set segmentation of volume data

A parallelized sparse field method for segmenting a volume dataset is provided. Using a processor a level set field within a multi-dimensional dataset comprising a plurality of voxels is initialized in parallel operation. The multi-dimensional dataset is indicative of an object. An initial set of active voxels is then generated in parallel operation in dependence upon the initialized level set field. New active voxels are determined in parallel operation. Duplicate active voxels are then removed in parallel operation, followed by compacting the active voxels in parallel operation. The process is repeated until a quantitative stopping criterion is met and level set segmentation data indicative of a feature of the object are determined in dependence upon the level set field.

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Calgary, Canada

Mike Roberts