Sub-Volume Thresholding Analysis

SVT is a tool for the Statistical Analysis of Stereotactic Functional Brain Data. The series of 'C' subroutines which comprise the SVT library can be easily incorporated into the user's site specific programs adapted to their particular needs.

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Features

SVT includes SVT_MNI9_5_2_SS_flt program, that is employed for analyzing activation versus rest functional volumes for single subject (SS) studies.
SVT includes two versions SVT_MNI9_5_2_MS_flt and SVT_MNI9_4_2_MS_flt geared towards analysis for determining the statistically significant regions of activation in functional brain as applicable to multi-subject (MS) and group studies.
SVT 5.3 incorporates the 272 sub-volumes of interest (SVI's) included in the Sub-Volume Probabilistic Atlas (SVPA) for Alzheimer's Disease (AD) population.
The multi-subject Sub-Volume Thresholding (SVT) technique helps determine the statistically significant metabolic changes in functional images using probabilistic partitioning of the human brain. Such probabilistic segmentations allow variable thresholding of the data and avoids the morphologic registration problems associated with the rigid boundary partitioning.