Register for free to
view the full innovation profile.
It supports 3 dimensional images as well as higher-dimensional images (e.g. sequence of 3D images such as a beating heart).
About
Summary The Image Segmenter automatically segments a 2D, 3D or higher-dimensional image into two subsets without user intervention. This technology has principal application in medical imaging as well as other graphics and image analysis, visualization, and editing tasks. In medical imaging, the Image Segmenter takes images (e.g. from an MRI, CAT, PET, ECT, or MMI) and segments structures of interest (e.g. internal organs or arteries) for such purposes as diagnostics or planning of surgical procedures. In 3D, the Image Segmenter isolates three-dimensional interior structures in the human body by locating the voxels that belong to such structures within an array of physical values (e.g. from an MRI, CAT, etc). Additional applications beyond medical imaging may be found in general image analysis and editing byusing the Image Segmenter for the segmentation of a moving object from a video sequence. Other methods to accomplish segmentation often requires more parameters/thresholds or focus atimage boundaries (thus they are too susceptible to (boundary) noise.) Furthermore other methods routinely have topological restrictions or are not guaranteed to give optimal solutions or are not automatic.