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Brain Norm Deviation Functionality
The Brain Norm Deviation module of PNEURO supports the creation of normal brain PET databases from a consistent set of normal volunteer images and its application for analyzing the images of test subjects.
The process of constructing the normal pattern - named Normal Brain Database or short Brain Norm - in principle consists of the following steps:
With a database-assisted analysis, the brain PET uptake pattern of a subject can be compared to the normal pattern. To this end, the subject images are normalized and scaled in the same way as the control images, and the resulting pixel values compared with the established normal values. This process results in a map showing the differences between the subject images and the normal pattern, expressed as a z-score value. The z-score map can be investigated in a multitude of ways including fusion with the subject images and 3D rendering (separate option).
Note: The same type of analysis is also possible with SPECT images, and with MR images using the option for voxel-based morphometry (VBM)