What kinds of data can be used with Slicer Dicer?
A 4: Slicer Dicer is designed for data defined on regular, rectangular grids. Such data take the form of n-dimensional Cartesian arrays. The illustration below depicts a regular, rectangular grid. The numbers, Nx, Ny, and Nz, defining the size of the grid, are arbitrary, as are the dimensions, dx, dy, and dz, of each grid element. Note that although a grid element can have any shape (dx, dy, and dz can be unequal), grid regularity requires that all elements within the grid be identical in size, i.e., dx is the same for all elements, dy is the same for all elements, etc. Most commonly, these data sets are three-dimensional, but Slicer Dicer can also be used with 2-d data sets (e.g. image data) and with data defined in four or more dimensions. In the latter case, the user will select a subset of three dimensions to be treated spatially, for visualization purposes, while the other dimensions become parameters with selected values. A parameter dimension can also be used to animate a “slice
