TOPOLOGICAL CORRECTION OF VOLUMETRIC BINARY BRAIN SEGMENTATION USING A MULTISCALE ALGORITHM

In medicine and neuroscience, it is important that the representation of anatomical structures is topologically correct. Topological correctness is important because it is an essential prerequisite for brain atlas deformation and surface flattening. A morphological multiscale approach which acts on foreground and background simultaneously divides the segmentation into several connected components, and subsequent region growing by nice points guarantees convergence to the correct spherical topology and changing as few voxels as possible. In addition to existing graph-based procedures, this provides an alternate approach which has several advantages, including high speed, ease of operation without graph analysis, and measuring the size of a handle, cutting a handle or filling the corresponding tunnel is based on their sizes