The Tissue Type string variable is used to select the tissue type for static segmentation, (eg: CSF, WM in the given example).
Routines for model visualisation and the analysis of image data for generation of tissue maps and simulated (noise filtered) images.
1D hist Plot data for image displayed n the Sequence Tool Tv for the selected region of interest. Superimpose the current estimate of the density model.
2D hist Generate scatter plot image displayed n the Sequence Tool Tv and the next in the sequence. Place this image and the estimated 2D density distribution from the model in the Imcalc Tool for viewing.
model Generate a noise free estimate of the image from the complete set of probabilistic estimates of most likey tissue proportions within each voxel. This process is likely to remove both noise and low level second order physics artefacts such as coil-inhomogeneity and flow hyperintensities (Tina memo 2003-007).
prob computes the most likely tissue volume probabilities and places the resulting image ``map'' on top of the stack for viewing by the Imcalc Tool.